{
  "results": [
    {
      "id": "051db203fd3acd5739530b8a2b03c229",
      "title": "Intern",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gift City",
      "country": "unknown",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T06:06:27.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7988899",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Intern Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Supervising Tower's automated trading systems during Asian market hours in a variety of markets for multiple trading teams - Assessing live trading for risk and compliance issues",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.72efda32b5758e6f2c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intern Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Supervising Tower's automated trading systems during Asian market hours in a variety of markets for multiple trading teams - Assessing live trading for risk and compliance issues",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:051db203fd3acd5739530b8a2b03c229:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.809875a16ef06c8f8c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intern Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Supervising Tower's automated trading systems during Asian market hours in a variety of markets for multiple trading teams - Assessing live trading for risk and compliance issues",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:051db203fd3acd5739530b8a2b03c229:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f2ab74c15e55e1cb3c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intern Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Supervising Tower's automated trading systems during Asian market hours in a variety of markets for multiple trading teams - Assessing live trading for risk and compliance issues",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:051db203fd3acd5739530b8a2b03c229:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5c83fd68f097adc306",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:051db203fd3acd5739530b8a2b03c229:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.80d215de0ed7568cfc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:051db203fd3acd5739530b8a2b03c229:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9ec3d8ea8a4e07d50d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:051db203fd3acd5739530b8a2b03c229:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.0bd1746615ced202e0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:53df700cd070cbd0b9ac6e2b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.29fc9e34334693d9fa",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a1ef4107ae59848dcf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fc104bb0691ed797db",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "051db203fd3acd5739530b8a2b03c229",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0fd2b073e79bfe0007610aa0565bf5ce",
      "title": "Manager - Finance Shared Services",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-18T12:45:21.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7693090",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Manager - Finance Shared Services Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing portions of the day to day output of India Shared Services - Managing accounting close procedures for Tower companies, including analysis / substantiation",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.49ca72d26c7c60668c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager - Finance Shared Services Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing portions of the day to day output of India Shared Services - Managing accounting close procedures for Tower companies, including analysis / substantiation",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fd2b073e79bfe0007610aa0565bf5ce:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.cb9d9fd01ceb0a74d5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager - Finance Shared Services Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing portions of the day to day output of India Shared Services - Managing accounting close procedures for Tower companies, including analysis / substantiation",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fd2b073e79bfe0007610aa0565bf5ce:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fe27fe852a5b7d8076",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager - Finance Shared Services Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing portions of the day to day output of India Shared Services - Managing accounting close procedures for Tower companies, including analysis / substantiation",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fd2b073e79bfe0007610aa0565bf5ce:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1aa521f28b0d533a7a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fd2b073e79bfe0007610aa0565bf5ce:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4529fd01cdbc3b9bba",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fd2b073e79bfe0007610aa0565bf5ce:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cb5345c3ed63131de6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fd2b073e79bfe0007610aa0565bf5ce:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.4786e176fdfc70175a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:45636ab21e42d7b82f9d9ecf",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.28a176c6d83ae62c79",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.462714b27af614c5b5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.661fba809b1f47931b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fd2b073e79bfe0007610aa0565bf5ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8f10d74ac95a9e1109df0675a4f15617",
      "title": "Business Management",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-13T05:57:17.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7919845",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Business Management Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Helping support the day-to-day business operations of Tower's trading alongside internal teams, including Core Engineering, Legal & Compliance, Operations, and Risk - Expanding Tower's participation on crypto",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5b80f568411dd02545",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Management Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Helping support the day-to-day business operations of Tower's trading alongside internal teams, including Core Engineering, Legal & Compliance, Operations, and Risk - Expanding Tower's participation on crypto",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8f10d74ac95a9e1109df0675a4f15617:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5ddd11414937f123e6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Management Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Helping support the day-to-day business operations of Tower's trading alongside internal teams, including Core Engineering, Legal & Compliance, Operations, and Risk - Expanding Tower's participation on crypto",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8f10d74ac95a9e1109df0675a4f15617:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c7cf51c052a56bde43",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Business Management Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Helping support the day-to-day business operations of Tower's trading alongside internal teams, including Core Engineering, Legal & Compliance, Operations, and Risk - Expanding Tower's participation on crypto",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8f10d74ac95a9e1109df0675a4f15617:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.056bb0fe17c2a16bc7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8f10d74ac95a9e1109df0675a4f15617:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1e55392033b324c245",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8f10d74ac95a9e1109df0675a4f15617:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3d575357195f603e42",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8f10d74ac95a9e1109df0675a4f15617:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.1358528d87015bb687",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:47316272e865a7af6ca153c0",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.041d59d3b224ea9003",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.52bda49e03776e0c96",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b97fb49afaeec00af3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8f10d74ac95a9e1109df0675a4f15617",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "86bfbbbfee5e864ed47d3925bce8fbfd",
      "title": "Senior Quantitative Researcher",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York, NY, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 200000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-03-05T17:02:26.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6685350",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Quantitative Researcher New York, NY, United States Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a Quantitative Researcher in one of Tower's trading teams, you will use Tower's in-house research and trading platform-one of the fastest and most",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.718b4bfb5138e58fb5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Quantitative Researcher New York, NY, United States Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a Quantitative Researcher in one of Tower's trading teams, you will use Tower's in-house research and trading platform-one of the fastest and most",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:86bfbbbfee5e864ed47d3925bce8fbfd:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.71edc1398bd70e54b8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Quantitative Researcher New York, NY, United States Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a Quantitative Researcher in one of Tower's trading teams, you will use Tower's in-house research and trading platform-one of the fastest and most",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:86bfbbbfee5e864ed47d3925bce8fbfd:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.760ee7eb1560e6e095",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Quantitative Researcher New York, NY, United States Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a Quantitative Researcher in one of Tower's trading teams, you will use Tower's in-house research and trading platform-one of the fastest and most",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:86bfbbbfee5e864ed47d3925bce8fbfd:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0be6084f24fa5ec242",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:86bfbbbfee5e864ed47d3925bce8fbfd:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.aa835d6fb7d4a3eb23",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:86bfbbbfee5e864ed47d3925bce8fbfd:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b0665b511fd21827ee",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:86bfbbbfee5e864ed47d3925bce8fbfd:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.19f771796d9f697f85",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Quantitative Researcher",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:86bfbbbfee5e864ed47d3925bce8fbfd:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.653f7094924463a678",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:eec4588487510e18d77d5e96",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.26e773af0daf71c245",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f62bf2ab391603923f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.06a9869038f2bd7c2a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "86bfbbbfee5e864ed47d3925bce8fbfd",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Quantitative Researcher",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "cb843d4439322430de6322c64d4a9116",
      "title": "Quantitative Developer, C++ - Trading Teams EMEA",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "London",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-07-22T15:28:20.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7080209",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Developer, C++ - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4066d54c92a20629ba",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, C++ - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:cb843d4439322430de6322c64d4a9116:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.626f992aae1b0bb370",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, C++ - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:cb843d4439322430de6322c64d4a9116:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9ee6dbd25ade7049ec",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, C++ - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:cb843d4439322430de6322c64d4a9116:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5e9d1aae634b5ea80d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:cb843d4439322430de6322c64d4a9116:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c96298f476d82900f6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:cb843d4439322430de6322c64d4a9116:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f19cf8806d0a2cf24f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:cb843d4439322430de6322c64d4a9116:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.c325e658fd10b28579",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:a08dd3809000e97f92c0796e",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2f04abadcab5cbe021",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9bd8758cd3632d8fc3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cc9dd6358150fb9680",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "cb843d4439322430de6322c64d4a9116",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "765d82662dca9eac190f6d7c5a99ca04",
      "title": "Data Engineer - Limestone",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T07:17:06.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7978630",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Engineer - Limestone gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Building and owning the end-to-end data layer for systematic equities trading (from raw vendor data to research-ready datasets) - Developing scalable pipelines for ingestion,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1ea26c6c34d29e02b1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Engineer - Limestone gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Building and owning the end-to-end data layer for systematic equities trading (from raw vendor data to research-ready datasets) - Developing scalable pipelines for ingestion,",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:765d82662dca9eac190f6d7c5a99ca04:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4ee9b493395e6f9633",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Engineer - Limestone gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Building and owning the end-to-end data layer for systematic equities trading (from raw vendor data to research-ready datasets) - Developing scalable pipelines for ingestion,",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:765d82662dca9eac190f6d7c5a99ca04:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7edd31b4b28fde4300",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Engineer - Limestone gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Building and owning the end-to-end data layer for systematic equities trading (from raw vendor data to research-ready datasets) - Developing scalable pipelines for ingestion,",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:765d82662dca9eac190f6d7c5a99ca04:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3823e4fdfacd0a380e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:765d82662dca9eac190f6d7c5a99ca04:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b4beec2ee3a21a8a21",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:765d82662dca9eac190f6d7c5a99ca04:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ccfa14edd5f4a38d0b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:765d82662dca9eac190f6d7c5a99ca04:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.27e14eee80b4b74b14",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:ccbc861ac7a2ff7b89e71eac",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.30ffc874362e241593",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.69c68783b274ba1a2c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a0970870aab9ad3722",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "765d82662dca9eac190f6d7c5a99ca04",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7e6af26723fe6c8f1f80a010d829aa1d",
      "title": "Quantitative Developer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2024-02-23T04:23:19.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=5733830",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L - Developing Python tools used in trading",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2796299a5253aa2601",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L - Developing Python tools used in trading",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e6af26723fe6c8f1f80a010d829aa1d:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.36b39f60a26a4051e2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L - Developing Python tools used in trading",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e6af26723fe6c8f1f80a010d829aa1d:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7bae93c61925ed81df",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L - Developing Python tools used in trading",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e6af26723fe6c8f1f80a010d829aa1d:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1c6fe1aa729ae43b14",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e6af26723fe6c8f1f80a010d829aa1d:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.45999e727b2b974859",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e6af26723fe6c8f1f80a010d829aa1d:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a0b5704b9501a1a629",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e6af26723fe6c8f1f80a010d829aa1d:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.659c90525ce684fa7b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5abbc2f100f1b8785be1c7b7",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5464f60b3d39b57b45",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8e27330c1415a20735",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.973259dd5bcdabc89a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e6af26723fe6c8f1f80a010d829aa1d",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f107e844aff537d5218c735306a2c89d",
      "title": "Python Developer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-02-25T14:10:38.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6629676",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Python Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Working on team's core python data science platform to support global trading research - Platform has grown over the years to manage peta-byte level data while providing",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.690254553129ca9f07",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Python Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Working on team's core python data science platform to support global trading research - Platform has grown over the years to manage peta-byte level data while providing",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f107e844aff537d5218c735306a2c89d:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.993f667ac494f28f24",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Python Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Working on team's core python data science platform to support global trading research - Platform has grown over the years to manage peta-byte level data while providing",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f107e844aff537d5218c735306a2c89d:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a6aca1733972f6774d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Python Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Working on team's core python data science platform to support global trading research - Platform has grown over the years to manage peta-byte level data while providing",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f107e844aff537d5218c735306a2c89d:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2e2c526ec07fbb92cd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f107e844aff537d5218c735306a2c89d:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6004a71a60e5928b71",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f107e844aff537d5218c735306a2c89d:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b72ab8bff5795a458c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f107e844aff537d5218c735306a2c89d:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.5cd0b19acadb09a6a6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6831706edf393c8320017631",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.25be0e9e4f83d55c0f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4888cbaccd69e3ca1d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fc94b41907a6c15472",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f107e844aff537d5218c735306a2c89d",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "df4c6cbd59715e5564612e677f7cf7bc",
      "title": "Quantitative Researcher",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Hong Kong",
      "country": "HK",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-03-04T06:53:33.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6679938",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Researcher Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This is a new team operating on a collaborative basis, with a rare opportunity to work on challenging problems across the full business scope and have outsized impact.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1647b77ab8acc275e0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Researcher Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This is a new team operating on a collaborative basis, with a rare opportunity to work on challenging problems across the full business scope and have outsized impact.",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df4c6cbd59715e5564612e677f7cf7bc:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.390be9fab22cc0033e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Researcher Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This is a new team operating on a collaborative basis, with a rare opportunity to work on challenging problems across the full business scope and have outsized impact.",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df4c6cbd59715e5564612e677f7cf7bc:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.69dcd8a05e427a03ca",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Researcher Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This is a new team operating on a collaborative basis, with a rare opportunity to work on challenging problems across the full business scope and have outsized impact.",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df4c6cbd59715e5564612e677f7cf7bc:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2565a5abe09d6922a8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df4c6cbd59715e5564612e677f7cf7bc:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2fe461356a466ef4a1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df4c6cbd59715e5564612e677f7cf7bc:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.da32713d489ec9dacf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df4c6cbd59715e5564612e677f7cf7bc:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8022a8d3922a2a306e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Quantitative Researcher",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df4c6cbd59715e5564612e677f7cf7bc:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.f65ebc3edb3331376e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:ff22f6cba9b34f4821531090",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.63ea7dbb6ef2270eb0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b6cfd30997b6de5a09",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8a69a35352f9e6a480",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df4c6cbd59715e5564612e677f7cf7bc",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Quantitative Researcher",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "91b507a54078968b8ad8722a48878fb3",
      "title": "Quantitative Trader",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York, New York",
      "country": "US",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 125000,
      "salary_max": 250000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 125000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T18:27:52.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=8001169",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Trader New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms - Support live trade strategies in production - Research high to mid frequency alphas - Explore trading ideas",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.28900dcb61ef7659a7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms - Support live trade strategies in production - Research high to mid frequency alphas - Explore trading ideas",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:91b507a54078968b8ad8722a48878fb3:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4d8ff2cd6a415ceb2c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms - Support live trade strategies in production - Research high to mid frequency alphas - Explore trading ideas",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:91b507a54078968b8ad8722a48878fb3:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bafa6f30fd77a63f9a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms - Support live trade strategies in production - Research high to mid frequency alphas - Explore trading ideas",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:91b507a54078968b8ad8722a48878fb3:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0a856761b860987bb8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:91b507a54078968b8ad8722a48878fb3:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7dc1e01ab06c063fbf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:91b507a54078968b8ad8722a48878fb3:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e065e308e75c37d0a0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:91b507a54078968b8ad8722a48878fb3:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.ed8e9bedf49a992de5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:16e6320a7bef69fc0378f36d",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.30689c19f5641c4ace",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d7604a7e945ea068a0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.db03f487e94db851d6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "91b507a54078968b8ad8722a48878fb3",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f2e580133326f522311429c41dde8850",
      "title": "Quantitative Trader / Researcher - EMEA",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "London, Paris, Amsterdam",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2023-05-11T19:46:32.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=4986715",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Trader / Researcher - EMEA London, Paris, Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one of the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0a8fe5a339bb173f10",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - EMEA London, Paris, Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one of the",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f2e580133326f522311429c41dde8850:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0a983f46076c194290",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - EMEA London, Paris, Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one of the",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f2e580133326f522311429c41dde8850:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.553b1fa6fa0c9e62ea",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - EMEA London, Paris, Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one of the",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f2e580133326f522311429c41dde8850:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7f7b3e666adf40958e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f2e580133326f522311429c41dde8850:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9dcc2f0453b700963d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f2e580133326f522311429c41dde8850:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b82a1f1b820b8bdd1e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f2e580133326f522311429c41dde8850:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.cb85ef32d87ac9e162",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Quantitative Trader / Researcher - EMEA",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f2e580133326f522311429c41dde8850:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.fad4bde498c9273f3f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:76b8db9972750aac934a1d3c",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3fe7d0e07c7058ac93",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7b3d3e05fba841cf31",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.79dcba21a0458bbd7c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f2e580133326f522311429c41dde8850",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Quantitative Trader / Researcher - EMEA",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "2b079ff873b86698d04ae369f15172fb",
      "title": "Quantitative Trader [Multiple Openings]",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T18:56:04.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7982355",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Trader [Multiple Openings] New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do -combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms. Research high to mid frequency alphas. - Explore trading ideas by analyzing market data, market microstructure and alternate data",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6a58f22d6165465bbd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader [Multiple Openings] New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do -combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms. Research high to mid frequency alphas. - Explore trading ideas by analyzing market data, market microstructure and alternate data",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:2b079ff873b86698d04ae369f15172fb:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7dfde56fd3b8a35c2c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader [Multiple Openings] New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do -combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms. Research high to mid frequency alphas. - Explore trading ideas by analyzing market data, market microstructure and alternate data",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:2b079ff873b86698d04ae369f15172fb:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c4a6d4ca447677a517",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader [Multiple Openings] New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do -combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Design, implement and deploy trading algorithms. Research high to mid frequency alphas. - Explore trading ideas by analyzing market data, market microstructure and alternate data",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:2b079ff873b86698d04ae369f15172fb:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.28ef96447b5490d9a0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:2b079ff873b86698d04ae369f15172fb:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5cea36225096125889",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:2b079ff873b86698d04ae369f15172fb:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e106636c69d15acf25",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:2b079ff873b86698d04ae369f15172fb:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.3d3b1c67f898a12b15",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b910cb1d0c7a65f46cfa4a37",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.79092a377f3736e32f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c90087f7b7200e3508",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e5272f48888cd73d84",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "2b079ff873b86698d04ae369f15172fb",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "db6a5d9f805bffa3c9757a5362f03b16",
      "title": "Quantitative Researcher Intern",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-10-22T21:03:47.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7238472",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Researcher Intern New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Researching high or mid-frequency trading algorithms or signals - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading ideas",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.366fd7c6d4e8dfd6d9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Researcher Intern New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Researching high or mid-frequency trading algorithms or signals - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading ideas",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:db6a5d9f805bffa3c9757a5362f03b16:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bf124aa9873b60a554",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Researcher Intern New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Researching high or mid-frequency trading algorithms or signals - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading ideas",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:db6a5d9f805bffa3c9757a5362f03b16:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e9be35744d70f9cca3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Researcher Intern New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Researching high or mid-frequency trading algorithms or signals - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading ideas",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:db6a5d9f805bffa3c9757a5362f03b16:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1e70ae1dbb93069f51",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:db6a5d9f805bffa3c9757a5362f03b16:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5b2785d4ecfae7fadc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:db6a5d9f805bffa3c9757a5362f03b16:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.712ee9df837707e117",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:db6a5d9f805bffa3c9757a5362f03b16:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7c66fbfd7a34b865ca",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Quantitative Researcher Intern",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:db6a5d9f805bffa3c9757a5362f03b16:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.27d7b0892da7446d09",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3e3a53e5c84327ac87bfc796",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.13b06bd716aa2ebec6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d595c5aa0fb56dab3f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3d0614afa9bd1eb8c8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "db6a5d9f805bffa3c9757a5362f03b16",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Quantitative Researcher Intern",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "14d7d42da60fc993941b393081e52510",
      "title": "Software Engineer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-02-19T11:46:56.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7613150",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Playing a key role in strategic projects to automate Tower's production environment - Disrupting traditional processes and practices by developing innovative applications that solve real-world problems -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5e6db702747d0bc976",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Playing a key role in strategic projects to automate Tower's production environment - Disrupting traditional processes and practices by developing innovative applications that solve real-world problems -",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:14d7d42da60fc993941b393081e52510:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a024edbfe3c1de99e0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Playing a key role in strategic projects to automate Tower's production environment - Disrupting traditional processes and practices by developing innovative applications that solve real-world problems -",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:14d7d42da60fc993941b393081e52510:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c984acb5bbd46cb132",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Playing a key role in strategic projects to automate Tower's production environment - Disrupting traditional processes and practices by developing innovative applications that solve real-world problems -",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:14d7d42da60fc993941b393081e52510:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1c19d65aad7b53e7df",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:14d7d42da60fc993941b393081e52510:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.af59ebd417cb9977a6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:14d7d42da60fc993941b393081e52510:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c8e5f4e49950707dc3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:14d7d42da60fc993941b393081e52510:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.f7563b5399aa595dd9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e29351777b1d9336d87e3e7f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.282865c6a323dec596",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.79246ef894f2b63a94",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d74b0f90a4890bf83a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "14d7d42da60fc993941b393081e52510",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "904c0c06781334b13868830f106ad1cb",
      "title": "Software Engineer, C++",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore, Hong Kong, Shanghai",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "total comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-03-05T10:12:51.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6346539",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, C++ Singapore, Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.43b589b1d5f25f1b69",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, C++ Singapore, Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:904c0c06781334b13868830f106ad1cb:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7860bc08a5512df249",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, C++ Singapore, Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:904c0c06781334b13868830f106ad1cb:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8bfea5ec7ce9bfc6fd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, C++ Singapore, Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:904c0c06781334b13868830f106ad1cb:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8ea65bc5e48de53ced",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:904c0c06781334b13868830f106ad1cb:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bec64edfd2099c48f6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:904c0c06781334b13868830f106ad1cb:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ce944abfd13de450f2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:904c0c06781334b13868830f106ad1cb:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.9d2227a10be27778ac",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:74561229a1a821419797896b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1403fe1df51c90ebfa",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dc0e2f874e5285ca6e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f249004df94bfe642b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "904c0c06781334b13868830f106ad1cb",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "54d6e2311dfebe6b488afe9a546709fd",
      "title": "Quantitative Trader Intern (PhD 2026)",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-07-10T16:29:42.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7062370",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Trader Intern (PhD 2026) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, implementing, and deploying high-frequency trading algorithms - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.69b4ed187d641465d3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader Intern (PhD 2026) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, implementing, and deploying high-frequency trading algorithms - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54d6e2311dfebe6b488afe9a546709fd:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.96826208b2e89613cf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader Intern (PhD 2026) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, implementing, and deploying high-frequency trading algorithms - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54d6e2311dfebe6b488afe9a546709fd:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c5c82c9256f0e2b057",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader Intern (PhD 2026) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, implementing, and deploying high-frequency trading algorithms - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54d6e2311dfebe6b488afe9a546709fd:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7f052dc7000032b544",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54d6e2311dfebe6b488afe9a546709fd:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c742d7c715a5ee397d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54d6e2311dfebe6b488afe9a546709fd:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fc12e79f59dcb9ba3f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54d6e2311dfebe6b488afe9a546709fd:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.74d228a65a6c6f0cbf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d8686ba1850eb2d413371f46",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3fa8a0a32b73996d47",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.63cf02991fbf729279",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.de625d1701e7f3f39c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54d6e2311dfebe6b488afe9a546709fd",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "31643fc18aa3e60876bc11d75cd1dae9",
      "title": "Quantitative Developer, Python",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 200000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2024-11-08T20:32:11.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6384976",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Developer, Python New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower is seeking a Software Developer to join one of its trading teams in New York. You will be joining the US Development team and will be",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1977684192305f88c1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, Python New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower is seeking a Software Developer to join one of its trading teams in New York. You will be joining the US Development team and will be",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:31643fc18aa3e60876bc11d75cd1dae9:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9659209432ec7ee06f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, Python New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower is seeking a Software Developer to join one of its trading teams in New York. You will be joining the US Development team and will be",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:31643fc18aa3e60876bc11d75cd1dae9:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b0781bf6c31253cd81",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, Python New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower is seeking a Software Developer to join one of its trading teams in New York. You will be joining the US Development team and will be",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:31643fc18aa3e60876bc11d75cd1dae9:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2e2298665006a6068f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:31643fc18aa3e60876bc11d75cd1dae9:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5c01a72c2060222303",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:31643fc18aa3e60876bc11d75cd1dae9:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8ffbf15d8eeec13cc3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:31643fc18aa3e60876bc11d75cd1dae9:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.0fa5f1e998e349ccb2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1a9072c420d2969b6409f4a6",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.14f83105f2c1895304",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a1c593a3befea19cb2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b0820020bf7811ce10",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "31643fc18aa3e60876bc11d75cd1dae9",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "9079254c90a154aa526441f79b37c9e4",
      "title": "Machine Learning Engineer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Hong Kong, Shanghai, Singapore",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-13T02:01:57.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7714667",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architecting and developing the next generation of Tower's machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility - Building",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.852e56e74196665c3d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Machine Learning Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architecting and developing the next generation of Tower's machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility - Building",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9079254c90a154aa526441f79b37c9e4:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f1f627f63abcc00ab0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Machine Learning Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architecting and developing the next generation of Tower's machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility - Building",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9079254c90a154aa526441f79b37c9e4:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f548dd11c0959792cc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Machine Learning Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architecting and developing the next generation of Tower's machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility - Building",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9079254c90a154aa526441f79b37c9e4:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.64e465712a5228657e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9079254c90a154aa526441f79b37c9e4:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a2ff3e1fc41f1392dc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9079254c90a154aa526441f79b37c9e4:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d2db637ce32697faa5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9079254c90a154aa526441f79b37c9e4:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.55c2ed3c0afd08dd86",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:7d5e308e57446a97a0329d26",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.788953229ffbaf40f1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d36cb94d54066b823d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dbbbd2fd85ecdff878",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9079254c90a154aa526441f79b37c9e4",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f1b93a1295ef7d0ff287131b69274e3b",
      "title": "Software Engineer, Trading Systems (C++)",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 285000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 285000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-05T20:12:32.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7985905",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, Trading Systems (C++) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architect and evolve the trading platform to support the changing needs of quantitative research, simulation, and production trading, with particular emphasis on market",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.008038ee51eaf8dcfe",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Trading Systems (C++) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architect and evolve the trading platform to support the changing needs of quantitative research, simulation, and production trading, with particular emphasis on market",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f1b93a1295ef7d0ff287131b69274e3b:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.43156d33d3a686c630",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Trading Systems (C++) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architect and evolve the trading platform to support the changing needs of quantitative research, simulation, and production trading, with particular emphasis on market",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f1b93a1295ef7d0ff287131b69274e3b:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.da86bf85532e7b9d27",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Trading Systems (C++) New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Architect and evolve the trading platform to support the changing needs of quantitative research, simulation, and production trading, with particular emphasis on market",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f1b93a1295ef7d0ff287131b69274e3b:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.20fcb8493f621d147c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f1b93a1295ef7d0ff287131b69274e3b:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.686268d55a1cadecab",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f1b93a1295ef7d0ff287131b69274e3b:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.db2252ed22b67498d7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f1b93a1295ef7d0ff287131b69274e3b:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.964627f03bdc348e11",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b9e18b2c2cd470e0b04ea80a",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.272bf28e5aed5e5645",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.79d9eb3cece2e23ae5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.82bf28edbb87ea7615",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f1b93a1295ef7d0ff287131b69274e3b",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d962752edba0f1a82d6c012d3d9a6310",
      "title": "Quantitative Developer, Python - Trading Teams EMEA",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "London",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-07-22T11:44:10.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7080219",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Developer, Python - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6fc559177b469bc5eb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, Python - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d962752edba0f1a82d6c012d3d9a6310:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8777494a89e4ff52fe",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, Python - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d962752edba0f1a82d6c012d3d9a6310:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c6645a34786bb145eb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer, Python - Trading Teams EMEA London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Description Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d962752edba0f1a82d6c012d3d9a6310:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.29bd59e52f8ad195ae",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d962752edba0f1a82d6c012d3d9a6310:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3d3e594e42e40d9134",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d962752edba0f1a82d6c012d3d9a6310:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7a9ac856c816c1b59d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d962752edba0f1a82d6c012d3d9a6310:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.a4d28bc99e43fbd06b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:39f30f767de1580500c4924e",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.05209bde222d9f7edf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.83e73bb5ad1da6745b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.91a1b2ea9820bafe9e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d962752edba0f1a82d6c012d3d9a6310",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "956411fca670ae6046ec6641744d43b9",
      "title": "Founding Engineer - Tower Incubations",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York, New York",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 175000,
      "salary_max": 250000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 175000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-10-23T13:08:02.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7353113",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Founding Engineer - Tower Incubations New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower Research Ventures (TRV), the venture arm of Tower Research Capital, is dedicated to building and investing in category-defining companies with the same enthusiasm and discipline that Tower applies to public markets. We closely partner with our portfolio companies, offering a diverse set of business, technical, and financial expertise to help them reach their goals, from product development to business growth and beyond. We are seeking a Founding Engineer to join our incubation efforts for TRV and drive foundational engineering efforts. In this pivotal role, you will be responsible for designing, building, and launching the core product from the ground up. This position is tailored for engineers with a passion for building, particularly those experienced in machine learning (ML) engineering and startup environments. Responsibilities: - Acting as a 'zero to one' engineer, building out core features and infrastructure - Establishing and maintaining a technical roadmap for the company - Evaluating the technical feasibility and scalability of product features - Leading and building out the engineering side of the organization - Mentoring and collaborating with new team members as the engineering team grows Qualifications: - A bachelor's or master's degree in Computer Science, Engineering, or a related field - Strong",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a9792cf97c679cc14b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Founding Engineer - Tower Incubations New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower Research Ventures (TRV), the venture arm of Tower Research Capital, is dedicated to building and investing in category-defining companies with the same enthusiasm and discipline that Tower applies to public markets. We closely partner with our portfolio companies, offering a diverse set of business, technical, and financial expertise to help them reach their goals, from product development to business growth and beyond. We are seeking a Founding Engineer to join our incubation efforts for TRV and drive foundational engineering efforts. In this pivotal role, you will be responsible for designing, building, and launching the core product from the ground up. This position is tailored for engineers with a passion for building, particularly those experienced in machine learning (ML) engineering and startup environments. Responsibilities: - Acting as a 'zero to one' engineer, building out core features and infrastructure - Establishing and maintaining a technical roadmap for the company - Evaluating the technical feasibility and scalability of product features - Leading and building out the engineering side of the organization - Mentoring and collaborating with new team members as the engineering team grows Qualifications: - A bachelor's or master's degree in Computer Science, Engineering, or a related field - Strong",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:956411fca670ae6046ec6641744d43b9:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c6a74910795381583f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Founding Engineer - Tower Incubations New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower Research Ventures (TRV), the venture arm of Tower Research Capital, is dedicated to building and investing in category-defining companies with the same enthusiasm and discipline that Tower applies to public markets. We closely partner with our portfolio companies, offering a diverse set of business, technical, and financial expertise to help them reach their goals, from product development to business growth and beyond. We are seeking a Founding Engineer to join our incubation efforts for TRV and drive foundational engineering efforts. In this pivotal role, you will be responsible for designing, building, and launching the core product from the ground up. This position is tailored for engineers with a passion for building, particularly those experienced in machine learning (ML) engineering and startup environments. Responsibilities: - Acting as a 'zero to one' engineer, building out core features and infrastructure - Establishing and maintaining a technical roadmap for the company - Evaluating the technical feasibility and scalability of product features - Leading and building out the engineering side of the organization - Mentoring and collaborating with new team members as the engineering team grows Qualifications: - A bachelor's or master's degree in Computer Science, Engineering, or a related field - Strong",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:956411fca670ae6046ec6641744d43b9:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e50219a4ab9b5815b0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Founding Engineer - Tower Incubations New York, New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower Research Ventures (TRV), the venture arm of Tower Research Capital, is dedicated to building and investing in category-defining companies with the same enthusiasm and discipline that Tower applies to public markets. We closely partner with our portfolio companies, offering a diverse set of business, technical, and financial expertise to help them reach their goals, from product development to business growth and beyond. We are seeking a Founding Engineer to join our incubation efforts for TRV and drive foundational engineering efforts. In this pivotal role, you will be responsible for designing, building, and launching the core product from the ground up. This position is tailored for engineers with a passion for building, particularly those experienced in machine learning (ML) engineering and startup environments. Responsibilities: - Acting as a 'zero to one' engineer, building out core features and infrastructure - Establishing and maintaining a technical roadmap for the company - Evaluating the technical feasibility and scalability of product features - Leading and building out the engineering side of the organization - Mentoring and collaborating with new team members as the engineering team grows Qualifications: - A bachelor's or master's degree in Computer Science, Engineering, or a related field - Strong",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:956411fca670ae6046ec6641744d43b9:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0a5eb6c41793a0c712",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:956411fca670ae6046ec6641744d43b9:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7438c08a8c465ab44f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:956411fca670ae6046ec6641744d43b9:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cecc3a33468f8060c1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:956411fca670ae6046ec6641744d43b9:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.70552bfaa5fb1509f1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Title: \"tower\"",
          "tooltip": "Title matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Founding Engineer - Tower Incubations",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:956411fca670ae6046ec6641744d43b9:title:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.cee0c090d78f1c9919",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Founding Engineer - Tower Incubations",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:50449683f2fc75d396b11541",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.08b6f60eac18493e90",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2e858577c207f1e4cb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7bda19d2258fe19d96",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "956411fca670ae6046ec6641744d43b9",
          "signal_type": "query_match",
          "display_text": "Title: \"tower\"",
          "tooltip": "Title contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Founding Engineer - Tower Incubations",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "99977e271de4f9590c8f9734afb0f336",
      "title": "Core Engineering Manager, C++",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "total comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T07:50:03.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7995006",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Core Engineering Manager, C++ Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including but not",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 10,
      "years_experience_max": 14,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3c179469c5ac19e83d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Core Engineering Manager, C++ Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including but not",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:99977e271de4f9590c8f9734afb0f336:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c7ec8e031ce9a47d2e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Core Engineering Manager, C++ Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including but not",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:99977e271de4f9590c8f9734afb0f336:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f4701b4ccdf5753771",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Core Engineering Manager, C++ Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Core Engineering Markets team is responsible for providing Tower's trading strategies access to a wide and continually growing range of financial markets globally, including but not",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:99977e271de4f9590c8f9734afb0f336:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0f74a8cc146d3dc968",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:99977e271de4f9590c8f9734afb0f336:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3d6963bb0fbb6c1a1b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:99977e271de4f9590c8f9734afb0f336:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e876a5da3c9354cc8c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:99977e271de4f9590c8f9734afb0f336:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.cbe6c1678082db4928",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:c421734f595e958034ac305f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e6af342e62305c1730",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ecb86e9a3136e452d0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fc9163fa520997c78d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "99977e271de4f9590c8f9734afb0f336",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "66cc10bcd75d3544ce1cfba1bdd94301",
      "title": "Senior Index Options Trader",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York, Chicago",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 180000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 180000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2023-09-19T13:06:54.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=5372566",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Index Options Trader New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Index Options Trader. Responsibilities: - Managing a portfolio of listed options products - Collaborating with other traders and quantitative researchers to",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2a8c2834d8f55ead80",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Index Options Trader New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Index Options Trader. Responsibilities: - Managing a portfolio of listed options products - Collaborating with other traders and quantitative researchers to",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:66cc10bcd75d3544ce1cfba1bdd94301:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b2bbd47f92899f1c4a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Index Options Trader New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Index Options Trader. Responsibilities: - Managing a portfolio of listed options products - Collaborating with other traders and quantitative researchers to",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:66cc10bcd75d3544ce1cfba1bdd94301:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f925137a708f8cb6c8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Index Options Trader New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Index Options Trader. Responsibilities: - Managing a portfolio of listed options products - Collaborating with other traders and quantitative researchers to",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:66cc10bcd75d3544ce1cfba1bdd94301:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.50d8efc0ce417aa6fd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:66cc10bcd75d3544ce1cfba1bdd94301:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.61561a3b4228480cf4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:66cc10bcd75d3544ce1cfba1bdd94301:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f6b64a6f0ee7a82ec4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:66cc10bcd75d3544ce1cfba1bdd94301:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.99556fafa3e0c44fb2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5739a7624424d141efd8e742",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.78c51447e875958eac",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9c92912d28d58000ec",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c903f3d406fc7f0e61",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "66cc10bcd75d3544ce1cfba1bdd94301",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "787f3e616d4919a31725feea50999a4c",
      "title": "Senior Options Quantitative Researcher",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York, Chicago",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 180000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 180000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2023-09-19T13:06:59.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=5372616",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Options Quantitative Researcher New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Options Quantitative Researcher. Responsibilities: - Developing options pricing and risk models - Improving real-time volatility valuation and fitting - Researching short",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.02ba0d021b58012ec0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Options Quantitative Researcher New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Options Quantitative Researcher. Responsibilities: - Developing options pricing and risk models - Improving real-time volatility valuation and fitting - Researching short",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:787f3e616d4919a31725feea50999a4c:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.88c7f0a38a53d3eb6f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Options Quantitative Researcher New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Options Quantitative Researcher. Responsibilities: - Developing options pricing and risk models - Improving real-time volatility valuation and fitting - Researching short",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:787f3e616d4919a31725feea50999a4c:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.faf3cabe8e33601741",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Options Quantitative Researcher New York, Chicago Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower seeks an experienced Options Quantitative Researcher. Responsibilities: - Developing options pricing and risk models - Improving real-time volatility valuation and fitting - Researching short",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:787f3e616d4919a31725feea50999a4c:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3ec558fd58741bd3f7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:787f3e616d4919a31725feea50999a4c:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.485b6ded0a918698ce",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:787f3e616d4919a31725feea50999a4c:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dc47a011c84f05e397",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:787f3e616d4919a31725feea50999a4c:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.518979934a690d01e4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Options Quantitative Researcher",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:787f3e616d4919a31725feea50999a4c:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.933a15a390c676717c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:fd5323e21577b98fdff96e82",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.12ef3fea3b2d754e55",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a4cca2d62e6c329669",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.da58dfd700e6572b1e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "787f3e616d4919a31725feea50999a4c",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Options Quantitative Researcher",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f7c3b6210f719a34ced81d9ef4def5d6",
      "title": "Analyste en sécurité de l’information / Information Security Analyst",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-12T11:26:58.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7704976",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Analyste en sécurité de l’information / Information Security Analyst Montreal",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5e90d9d0307a0a6d44",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7c3b6210f719a34ced81d9ef4def5d6",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7c3b6210f719a34ced81d9ef4def5d6:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8e07f918acc6170a23",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7c3b6210f719a34ced81d9ef4def5d6",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7c3b6210f719a34ced81d9ef4def5d6:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a622f768f52f1a9d44",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7c3b6210f719a34ced81d9ef4def5d6",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7c3b6210f719a34ced81d9ef4def5d6:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.c6be7561a898db38e5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7c3b6210f719a34ced81d9ef4def5d6",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2300ca2ec92e88376b9233e6",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.03096a333e7fe616b9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7c3b6210f719a34ced81d9ef4def5d6",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cbc5055070ba459636",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7c3b6210f719a34ced81d9ef4def5d6",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ec9a8af10eac86d96e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7c3b6210f719a34ced81d9ef4def5d6",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6e547f5a9c27fa2b9fa367251354fd53",
      "title": "Project Manager",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-20T21:06:07.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7942757",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Project Manager Montreal",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "operations",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7d6bab0eed544fe6e0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e547f5a9c27fa2b9fa367251354fd53",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e547f5a9c27fa2b9fa367251354fd53:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d5eb571e39de47377a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e547f5a9c27fa2b9fa367251354fd53",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e547f5a9c27fa2b9fa367251354fd53:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f8647d84edcd76bd2d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e547f5a9c27fa2b9fa367251354fd53",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e547f5a9c27fa2b9fa367251354fd53:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.2dd1abdf4a84946ce0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e547f5a9c27fa2b9fa367251354fd53",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:142b785029da40a18d34c339",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0bdea35ae25bab45b2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e547f5a9c27fa2b9fa367251354fd53",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c51d0a5b22d0197163",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e547f5a9c27fa2b9fa367251354fd53",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dfb1d802399299cebe",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e547f5a9c27fa2b9fa367251354fd53",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "1023766034e3030eb4baeaf2abc3bc73",
      "title": "Quantitative Trader / Researcher - US",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York, Chicago, Charleston, Las Vegas, Miami",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 200000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-11-04T22:28:53.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=16635",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Trader / Researcher - US New York, Chicago, Charleston, Las Vegas, Miami Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5d0a78fa8e7d14ceab",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - US New York, Chicago, Charleston, Las Vegas, Miami Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:1023766034e3030eb4baeaf2abc3bc73:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.645df52602076dc083",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - US New York, Chicago, Charleston, Las Vegas, Miami Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:1023766034e3030eb4baeaf2abc3bc73:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.687b8ec983ba877a00",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - US New York, Chicago, Charleston, Las Vegas, Miami Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:1023766034e3030eb4baeaf2abc3bc73:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.59d2338e5599871ccc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:1023766034e3030eb4baeaf2abc3bc73:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.719c2dd510d26d4fec",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:1023766034e3030eb4baeaf2abc3bc73:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c353e75b1c679906a5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:1023766034e3030eb4baeaf2abc3bc73:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e7112fccd5e0b79315",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Quantitative Trader / Researcher - US",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:1023766034e3030eb4baeaf2abc3bc73:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.5b653ea95ba5b530e8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5e55575a81d13d33f4acca7b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.17c75f121807de9b5d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1ec67f1b86bf6c645c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d700a1fcf00af1b0eb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "1023766034e3030eb4baeaf2abc3bc73",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Quantitative Trader / Researcher - US",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a99e34939310e5682eeddc12581ecbc6",
      "title": "Développeur de Logiciels / Software Developer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-25T13:04:19.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7949810",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Développeur de Logiciels / Software Developer Montreal",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5e0ff51f70fb66d036",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a99e34939310e5682eeddc12581ecbc6",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a99e34939310e5682eeddc12581ecbc6:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.60e494054424ce58e2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a99e34939310e5682eeddc12581ecbc6",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a99e34939310e5682eeddc12581ecbc6:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.eb0055eed74e8ba994",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a99e34939310e5682eeddc12581ecbc6",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a99e34939310e5682eeddc12581ecbc6:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.e3b2a842d652ede75f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a99e34939310e5682eeddc12581ecbc6",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:aa1e299c5db24e6492034335",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2a4efc908e0111fe72",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a99e34939310e5682eeddc12581ecbc6",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9d6b39941452b59c23",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a99e34939310e5682eeddc12581ecbc6",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bc94d5cc5298ac5203",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a99e34939310e5682eeddc12581ecbc6",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "814a29b11345d725285db3c09c1f93be",
      "title": "Quantitative Trader / Researcher - APAC",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Hong Kong, Shanghai, Singapore, Sydney",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2023-05-24T12:28:09.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=4958633",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Trader / Researcher - APAC Hong Kong, Shanghai, Singapore, Sydney Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.052696514ef897ba4f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - APAC Hong Kong, Shanghai, Singapore, Sydney Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:814a29b11345d725285db3c09c1f93be:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6ba7221412b0479624",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - APAC Hong Kong, Shanghai, Singapore, Sydney Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:814a29b11345d725285db3c09c1f93be:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b35b2e489daac58449",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Trader / Researcher - APAC Hong Kong, Shanghai, Singapore, Sydney Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:814a29b11345d725285db3c09c1f93be:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.31e7d8e00cf28575c3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:814a29b11345d725285db3c09c1f93be:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bc81033f3181c11711",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:814a29b11345d725285db3c09c1f93be:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c298d916a6e792c6c1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:814a29b11345d725285db3c09c1f93be:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c1bb0c2b3bcfdd1790",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Quantitative Trader / Researcher - APAC",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:814a29b11345d725285db3c09c1f93be:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.42ba5290c5cf097cc9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8f2c1ea3d675ee6c771592ec",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8533e3fb66904fe66f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.87a26393ec78fc6027",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3bcba24bdf36ed31dd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "814a29b11345d725285db3c09c1f93be",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Quantitative Trader / Researcher - APAC",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "5c00da3bacf9d22bd7337d5f3abc00c8",
      "title": "Développeur des opérations de négociation / Trade Operations Developer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2024-01-26T02:44:56.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=5650542",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Développeur des opérations de négociation / Trade Operations Developer Montreal",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "operations",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.63636bf6bc145f2e8f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c00da3bacf9d22bd7337d5f3abc00c8",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c00da3bacf9d22bd7337d5f3abc00c8:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.66445114679a48961d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c00da3bacf9d22bd7337d5f3abc00c8",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c00da3bacf9d22bd7337d5f3abc00c8:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8fe1ee36d80dea7d0a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c00da3bacf9d22bd7337d5f3abc00c8",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c00da3bacf9d22bd7337d5f3abc00c8:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.b780ff011b81ec494a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c00da3bacf9d22bd7337d5f3abc00c8",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower research capital",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1e86796ca6220f1b7774f895",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.106817d228056829d9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c00da3bacf9d22bd7337d5f3abc00c8",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.31dc77287ecce12c66",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c00da3bacf9d22bd7337d5f3abc00c8",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3a772363d1e67b1ce8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c00da3bacf9d22bd7337d5f3abc00c8",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "24f68570c6290a864eef6133b1b92442",
      "title": "Hardware Engineer III",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-01T05:09:53.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7971677",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Hardware Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.65f2164e14a78dd8a9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Hardware Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:24f68570c6290a864eef6133b1b92442:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bfd57521191e15733d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Hardware Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:24f68570c6290a864eef6133b1b92442:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fd97b2a2023bfff72c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Hardware Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:24f68570c6290a864eef6133b1b92442:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0b7544cd7c5234d099",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:24f68570c6290a864eef6133b1b92442:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3fa6b03f1933531c28",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:24f68570c6290a864eef6133b1b92442:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a35248b91a45d26dc6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:24f68570c6290a864eef6133b1b92442:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2c1ed6c7b8ecc17dd7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c380df7f85abfa384a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d2c90d628c474a2c94",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "24f68570c6290a864eef6133b1b92442",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "274c623f2c4a2e0ceca26364d9a5aaae",
      "title": "ETF Trader",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-15T03:48:52.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7816571",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "ETF Trader Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Pricing and trading both leveraged and unleveraged ETFs across Japan and Hong Kong - Monitoring ETF fair value, tracking errors, and arbitrage opportunities across primary and secondary",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.16b7ec8400254cf596",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "ETF Trader Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Pricing and trading both leveraged and unleveraged ETFs across Japan and Hong Kong - Monitoring ETF fair value, tracking errors, and arbitrage opportunities across primary and secondary",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:274c623f2c4a2e0ceca26364d9a5aaae:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.371c1f3df9b2a5a576",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "ETF Trader Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Pricing and trading both leveraged and unleveraged ETFs across Japan and Hong Kong - Monitoring ETF fair value, tracking errors, and arbitrage opportunities across primary and secondary",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:274c623f2c4a2e0ceca26364d9a5aaae:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d0d90c78deaade5f8a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "ETF Trader Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Pricing and trading both leveraged and unleveraged ETFs across Japan and Hong Kong - Monitoring ETF fair value, tracking errors, and arbitrage opportunities across primary and secondary",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:274c623f2c4a2e0ceca26364d9a5aaae:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5fea4b0be84e3903fd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:274c623f2c4a2e0ceca26364d9a5aaae:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.730b9f80d71305c13d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:274c623f2c4a2e0ceca26364d9a5aaae:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.80473dc850e79424a7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:274c623f2c4a2e0ceca26364d9a5aaae:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.018a1dc48b7baa061c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.455f08b89b4c5d1295",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8a5ebefce62ca4d8ba",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "274c623f2c4a2e0ceca26364d9a5aaae",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3dad99a331ae23bbec301e7c40b096fc",
      "title": "Associate, Operations (Weekend Support)",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "total comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-17T07:37:46.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7725537",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate, Operations (Weekend Support) Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Work with different stakeholders to scope new processes, troubleshoot ad-hoc problems, and propose continuous improvements for existing operational tasks related to crypto markets globally which",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "operations",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3298dde435c4f80141",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate, Operations (Weekend Support) Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Work with different stakeholders to scope new processes, troubleshoot ad-hoc problems, and propose continuous improvements for existing operational tasks related to crypto markets globally which",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3dad99a331ae23bbec301e7c40b096fc:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.908f22c266783da6eb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate, Operations (Weekend Support) Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Work with different stakeholders to scope new processes, troubleshoot ad-hoc problems, and propose continuous improvements for existing operational tasks related to crypto markets globally which",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3dad99a331ae23bbec301e7c40b096fc:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.be361202796a808671",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate, Operations (Weekend Support) Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Work with different stakeholders to scope new processes, troubleshoot ad-hoc problems, and propose continuous improvements for existing operational tasks related to crypto markets globally which",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3dad99a331ae23bbec301e7c40b096fc:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0efc4322e0f0d5f237",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3dad99a331ae23bbec301e7c40b096fc:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.255752682ef8657c8f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3dad99a331ae23bbec301e7c40b096fc:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b90afc699c27116a3f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3dad99a331ae23bbec301e7c40b096fc:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3db8318a7d3f91658e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7d2b314397f24b905a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c333dfd7fe3a5d9c49",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3dad99a331ae23bbec301e7c40b096fc",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3e67360a16938cc39679a3698b285a00",
      "title": "AI Operations Manager",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "gurugram",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-11T10:36:46.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7912545",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Operations Manager gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As an AI Operations Manager within our Core AI and Machine Learning Group, you will be responsible for governing, tracking, and increasing the overall financial effectiveness of the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "operations",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3be566cb174c785e94",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Operations Manager gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As an AI Operations Manager within our Core AI and Machine Learning Group, you will be responsible for governing, tracking, and increasing the overall financial effectiveness of the",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3e67360a16938cc39679a3698b285a00:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9cf7b5314be32ee4d4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Operations Manager gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As an AI Operations Manager within our Core AI and Machine Learning Group, you will be responsible for governing, tracking, and increasing the overall financial effectiveness of the",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3e67360a16938cc39679a3698b285a00:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ff07c47ed6bd903ad5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Operations Manager gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As an AI Operations Manager within our Core AI and Machine Learning Group, you will be responsible for governing, tracking, and increasing the overall financial effectiveness of the",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3e67360a16938cc39679a3698b285a00:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0221816d747820ccb1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3e67360a16938cc39679a3698b285a00:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a22add436fb4f16412",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3e67360a16938cc39679a3698b285a00:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f2550db809168976ac",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3e67360a16938cc39679a3698b285a00:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.325109b46b98f86892",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a547f417959ee2dd45",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a8a1266903dcc63dbf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3e67360a16938cc39679a3698b285a00",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "402e3c82ff553583a2cc117f9b9f8493",
      "title": "Market Data Strategist",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 170000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 170000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-25T13:52:39.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7746003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Market Data Strategist New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities As a Market Data Strategist within our Data Strategy group, you will be part of the team that is responsible for identifying, sourcing, and increasing the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.486b6419bb200b2a69",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Market Data Strategist New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities As a Market Data Strategist within our Data Strategy group, you will be part of the team that is responsible for identifying, sourcing, and increasing the",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:402e3c82ff553583a2cc117f9b9f8493:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.632ccc4e3b748e90c4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Market Data Strategist New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities As a Market Data Strategist within our Data Strategy group, you will be part of the team that is responsible for identifying, sourcing, and increasing the",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:402e3c82ff553583a2cc117f9b9f8493:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c7abb2c64825e28872",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Market Data Strategist New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities As a Market Data Strategist within our Data Strategy group, you will be part of the team that is responsible for identifying, sourcing, and increasing the",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:402e3c82ff553583a2cc117f9b9f8493:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0a9a54429c9a0f97db",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:402e3c82ff553583a2cc117f9b9f8493:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1a27d649d9c6bf7785",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:402e3c82ff553583a2cc117f9b9f8493:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d75320d8bc1d6baa89",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:402e3c82ff553583a2cc117f9b9f8493:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7eaaeff5c9d52557e7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7fb0d69d3476f4f256",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cd5ae9c66e2fee48b6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "402e3c82ff553583a2cc117f9b9f8493",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "40656817e254d851bbac8e94a6b87781",
      "title": "Low Latency Developer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2022-07-19T14:33:20.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=4357723",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Low Latency Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: The Low Latency Software Developer's responsibilities will include: - Designing, developing and implementing efficient code for various components of the team's low latency, high throughput production trading",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.11ee9e363895462731",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Low Latency Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: The Low Latency Software Developer's responsibilities will include: - Designing, developing and implementing efficient code for various components of the team's low latency, high throughput production trading",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:40656817e254d851bbac8e94a6b87781:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1bff42aaf6d700dbf5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Low Latency Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: The Low Latency Software Developer's responsibilities will include: - Designing, developing and implementing efficient code for various components of the team's low latency, high throughput production trading",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:40656817e254d851bbac8e94a6b87781:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d495a184d1f6f6c622",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Low Latency Developer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: The Low Latency Software Developer's responsibilities will include: - Designing, developing and implementing efficient code for various components of the team's low latency, high throughput production trading",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:40656817e254d851bbac8e94a6b87781:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.31edbbc7b6eaa85509",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:40656817e254d851bbac8e94a6b87781:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.761e0d3ca87bcdf834",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:40656817e254d851bbac8e94a6b87781:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c1c4e9cb27a9f4a9fc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:40656817e254d851bbac8e94a6b87781:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.311b3a57d95ef31c91",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.57d8821ae17c685843",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5d24167b9cfca497c8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "40656817e254d851bbac8e94a6b87781",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "5c947300a036034b25e68a34ad560b63",
      "title": "Risk Manager",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Amsterdam",
      "country": "NL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-01-22T13:20:28.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7539109",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Risk Manager Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world-class level. Our engineers solve challenging problems in the realms of low-latency programming, hardware acceleration, and data-intensive systems. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the equity trading activities of the group with a particular focus on equity statistical arbitrage and equity delta one strategies - Assisting the regional Head of",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.11637423ea5e5c5b0e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Manager Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world-class level. Our engineers solve challenging problems in the realms of low-latency programming, hardware acceleration, and data-intensive systems. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the equity trading activities of the group with a particular focus on equity statistical arbitrage and equity delta one strategies - Assisting the regional Head of",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c947300a036034b25e68a34ad560b63:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3cbf060caf0685e483",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Manager Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world-class level. Our engineers solve challenging problems in the realms of low-latency programming, hardware acceleration, and data-intensive systems. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the equity trading activities of the group with a particular focus on equity statistical arbitrage and equity delta one strategies - Assisting the regional Head of",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c947300a036034b25e68a34ad560b63:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e030df2d959309d7c9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Manager Amsterdam Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world-class level. Our engineers solve challenging problems in the realms of low-latency programming, hardware acceleration, and data-intensive systems. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the equity trading activities of the group with a particular focus on equity statistical arbitrage and equity delta one strategies - Assisting the regional Head of",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c947300a036034b25e68a34ad560b63:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ac2a6e79281ac16740",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c947300a036034b25e68a34ad560b63:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.db2f5d9443d2080f57",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c947300a036034b25e68a34ad560b63:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e747c5f1591e1cd305",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c947300a036034b25e68a34ad560b63:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1f29ab1818ff9f1b97",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7416e54d89c79e8785",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c8f59e75000719e5da",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c947300a036034b25e68a34ad560b63",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "624a6dcfe669474d798e021aae599e9d",
      "title": "Trading Systems Support Analyst",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "London",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-24T18:34:51.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7722018",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Trading Systems Support Analyst London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This position is based in London. Some travels to other locations including outside of EMEA may be necessary from time to time. Responsibilities The Trading Systems Support",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3258cfbdecd38cf5a1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Trading Systems Support Analyst London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This position is based in London. Some travels to other locations including outside of EMEA may be necessary from time to time. Responsibilities The Trading Systems Support",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:624a6dcfe669474d798e021aae599e9d:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c455531af25ff34d32",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Trading Systems Support Analyst London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This position is based in London. Some travels to other locations including outside of EMEA may be necessary from time to time. Responsibilities The Trading Systems Support",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:624a6dcfe669474d798e021aae599e9d:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.cdedb38299e96ecc6d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Trading Systems Support Analyst London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. This position is based in London. Some travels to other locations including outside of EMEA may be necessary from time to time. Responsibilities The Trading Systems Support",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:624a6dcfe669474d798e021aae599e9d:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5545750c3276c189fa",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:624a6dcfe669474d798e021aae599e9d:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8d441214118d9ff31b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:624a6dcfe669474d798e021aae599e9d:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.981e5727173d652a53",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:624a6dcfe669474d798e021aae599e9d:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.12f3062eef2c8a82a1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ab0152102c2ecd3b39",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e009c862d5961087ad",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "624a6dcfe669474d798e021aae599e9d",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "71f8037e374434539aff8581f8014938",
      "title": "Manager, Risk",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 200000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-08-29T14:15:08.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7206945",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Manager, Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the Americas trading activities of the firm by focusing on electronic trading and market risk - Assisting the regional Head of Risk",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 6,
      "years_experience_max": 10,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1d20f5b1cbd3d2fdda",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager, Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the Americas trading activities of the firm by focusing on electronic trading and market risk - Assisting the regional Head of Risk",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:71f8037e374434539aff8581f8014938:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.aba89030cd48a5711a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager, Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the Americas trading activities of the firm by focusing on electronic trading and market risk - Assisting the regional Head of Risk",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:71f8037e374434539aff8581f8014938:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c90c8aca9548b05de4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager, Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Providing risk oversight for the Americas trading activities of the firm by focusing on electronic trading and market risk - Assisting the regional Head of Risk",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:71f8037e374434539aff8581f8014938:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5b29c4ad8ec3e6d0be",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:71f8037e374434539aff8581f8014938:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6c91226ee4e2007547",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:71f8037e374434539aff8581f8014938:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e2d2a4b750260d2966",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:71f8037e374434539aff8581f8014938:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.49b264ada7809c5c06",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.49eaad92b2601dbded",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e8f98f5c5847c62ce2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "71f8037e374434539aff8581f8014938",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7448930bce1618fda73f37cb8a7f1d00",
      "title": "Systems Engineer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Hong Kong, Shanghai, Singapore",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-02-13T08:59:59.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7613397",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Systems Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing, supporting, and operating HPC compute and storage infrastructure across on-premises and cloud environments - Maintaining and improving large-scale Linux systems spanning compute, storage,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2651e7abc8627fe372",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing, supporting, and operating HPC compute and storage infrastructure across on-premises and cloud environments - Maintaining and improving large-scale Linux systems spanning compute, storage,",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7448930bce1618fda73f37cb8a7f1d00:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ac03a82f7654b98243",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing, supporting, and operating HPC compute and storage infrastructure across on-premises and cloud environments - Maintaining and improving large-scale Linux systems spanning compute, storage,",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7448930bce1618fda73f37cb8a7f1d00:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f0899f496e8092df16",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Systems Engineer Hong Kong, Shanghai, Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing, supporting, and operating HPC compute and storage infrastructure across on-premises and cloud environments - Maintaining and improving large-scale Linux systems spanning compute, storage,",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7448930bce1618fda73f37cb8a7f1d00:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1c1dc90dac007f544e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7448930bce1618fda73f37cb8a7f1d00:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.79a2e986ef895bb1b4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7448930bce1618fda73f37cb8a7f1d00:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.82095e06ba21a55dc7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7448930bce1618fda73f37cb8a7f1d00:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5fee9f90ec1ccdc715",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b55b1626de95eca641",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cb172d15c7390521c1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7448930bce1618fda73f37cb8a7f1d00",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7b0daeac3e52a48aa94b86a85eb007d2",
      "title": "Technical Operations Lead",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 140000,
      "salary_max": 240000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 140000,
      "base_salary_max": 240000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-20T20:55:15.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7947543",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technical Operations Lead New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Lead transformational projects with focus on operations, in particular Application Reliability Engineering, ensuring that long-term rollouts are completed, incidents are fully resolved, and global initiatives",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4e5f4f9ae37dd8953c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Operations Lead New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Lead transformational projects with focus on operations, in particular Application Reliability Engineering, ensuring that long-term rollouts are completed, incidents are fully resolved, and global initiatives",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7b0daeac3e52a48aa94b86a85eb007d2:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.73ec1ff736c4229513",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Operations Lead New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Lead transformational projects with focus on operations, in particular Application Reliability Engineering, ensuring that long-term rollouts are completed, incidents are fully resolved, and global initiatives",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7b0daeac3e52a48aa94b86a85eb007d2:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a13508ef2fdd397cdc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Operations Lead New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Lead transformational projects with focus on operations, in particular Application Reliability Engineering, ensuring that long-term rollouts are completed, incidents are fully resolved, and global initiatives",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7b0daeac3e52a48aa94b86a85eb007d2:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.10633f728898e86534",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7b0daeac3e52a48aa94b86a85eb007d2:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.13e8bfccabf7316674",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7b0daeac3e52a48aa94b86a85eb007d2:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.75375dbaab0f09cb50",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7b0daeac3e52a48aa94b86a85eb007d2:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.28bca6082c56241dc9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7f065320dd6079c190",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d5507570ccffaac08b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7b0daeac3e52a48aa94b86a85eb007d2",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "807d5ea45aad584f3d1c26c5dfbeab9c",
      "title": "Manager, Quantitative Risk",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 250000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-06T20:32:27.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7677541",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Manager, Quantitative Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Developing and overseeing firm-wide risk factors and exposure models, including custom and strategy-specific factors - Designing, implementing, and maintaining pricing models for risk and performance",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.31d445d73dbfcde318",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager, Quantitative Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Developing and overseeing firm-wide risk factors and exposure models, including custom and strategy-specific factors - Designing, implementing, and maintaining pricing models for risk and performance",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:807d5ea45aad584f3d1c26c5dfbeab9c:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8787b8c8c6bcb60719",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager, Quantitative Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Developing and overseeing firm-wide risk factors and exposure models, including custom and strategy-specific factors - Designing, implementing, and maintaining pricing models for risk and performance",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:807d5ea45aad584f3d1c26c5dfbeab9c:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.93c9e8a944d85842bf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Manager, Quantitative Risk New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Developing and overseeing firm-wide risk factors and exposure models, including custom and strategy-specific factors - Designing, implementing, and maintaining pricing models for risk and performance",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:807d5ea45aad584f3d1c26c5dfbeab9c:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2ba791ccd8429d82f1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:807d5ea45aad584f3d1c26c5dfbeab9c:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4450cd5b40966b671b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:807d5ea45aad584f3d1c26c5dfbeab9c:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a94051eb7699381da9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:807d5ea45aad584f3d1c26c5dfbeab9c:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.50161cd5e1d93f2515",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dce9d7610cc8a53aae",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fb38e1a4b38194fc31",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "807d5ea45aad584f3d1c26c5dfbeab9c",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "98cd8034f389423bf8873675d333c519",
      "title": "Senior Software Engineer, Development Tools",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "London",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-05T18:59:28.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7683372",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, Development Tools London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and adoption of monorepo-scale build",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.663ee46ddfeaa6bc1c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, Development Tools London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and adoption of monorepo-scale build",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:98cd8034f389423bf8873675d333c519:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6924cee633ae138619",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, Development Tools London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and adoption of monorepo-scale build",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:98cd8034f389423bf8873675d333c519:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d3a8097aa630094766",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer, Development Tools London Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and adoption of monorepo-scale build",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:98cd8034f389423bf8873675d333c519:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2ac092f8534da5337e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:98cd8034f389423bf8873675d333c519:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b8bcc1f1b8fc65441d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:98cd8034f389423bf8873675d333c519:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f9bf2d4d644f466c9b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:98cd8034f389423bf8873675d333c519:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bccb464ea497d51f1a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f2b9cb5b81db4e70a6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f80adce96346ac5aa9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "98cd8034f389423bf8873675d333c519",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a5f117d8e15e0aad9c26128b5647e075",
      "title": "Support Analyst",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-23T11:13:38.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7739926",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Support Analyst Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Solving problems by providing level one and level two support while managing a rich suite of trading applications - Proposing and executing automation efforts to keep the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.01eb43008a4a08bf56",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Support Analyst Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Solving problems by providing level one and level two support while managing a rich suite of trading applications - Proposing and executing automation efforts to keep the",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a5f117d8e15e0aad9c26128b5647e075:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.13bd43d6f7c3b4af70",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Support Analyst Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Solving problems by providing level one and level two support while managing a rich suite of trading applications - Proposing and executing automation efforts to keep the",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a5f117d8e15e0aad9c26128b5647e075:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bc935274344613dbb8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Support Analyst Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Solving problems by providing level one and level two support while managing a rich suite of trading applications - Proposing and executing automation efforts to keep the",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a5f117d8e15e0aad9c26128b5647e075:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.03ba3a8ca323f5407e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a5f117d8e15e0aad9c26128b5647e075:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.608448e6a8da478696",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a5f117d8e15e0aad9c26128b5647e075:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.66c444411e7d87b3fb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a5f117d8e15e0aad9c26128b5647e075:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.01a995f82e5b881ec6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.41bc202efd4f59a750",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6d1417cba1f7f6aa13",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a5f117d8e15e0aad9c26128b5647e075",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "af5507c5c38c8edfd6c0ce3d8983e5df",
      "title": "Senior Systems Engineer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 250000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-22T16:26:31.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7839735",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Systems Engineer New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Architect and implement scalable cloud infrastructure using Terraform (or equivalent IaC tools) - Design high-performance compute environments, including optimized networking and storage stacks -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.409057ff76d6202f0f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Systems Engineer New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Architect and implement scalable cloud infrastructure using Terraform (or equivalent IaC tools) - Design high-performance compute environments, including optimized networking and storage stacks -",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:af5507c5c38c8edfd6c0ce3d8983e5df:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.84d986cc821a8ad5e5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Systems Engineer New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Architect and implement scalable cloud infrastructure using Terraform (or equivalent IaC tools) - Design high-performance compute environments, including optimized networking and storage stacks -",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:af5507c5c38c8edfd6c0ce3d8983e5df:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9295ca435a2d0f3424",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Systems Engineer New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities : - Architect and implement scalable cloud infrastructure using Terraform (or equivalent IaC tools) - Design high-performance compute environments, including optimized networking and storage stacks -",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:af5507c5c38c8edfd6c0ce3d8983e5df:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0555f91d0595d1ba88",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:af5507c5c38c8edfd6c0ce3d8983e5df:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6698dc6cef5b68b726",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:af5507c5c38c8edfd6c0ce3d8983e5df:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6e82888304c5f386ef",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:af5507c5c38c8edfd6c0ce3d8983e5df:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.04cfa03d57db4dcf89",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.66af1a5cc2416346d1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ef951fd707c6ab80d8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "af5507c5c38c8edfd6c0ce3d8983e5df",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "b7566a2730bb02e22716626a693f2a20",
      "title": "Software Engineer II",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-02T07:55:57.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7761315",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer II Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing and building “Source of Truth” systems that unify global trading data for Finance, Operations, and Regulatory partners, and applications that trace trades from raw execution",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 4,
      "years_experience_max": 8,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0478b7dbdd51c4d5a2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer II Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing and building “Source of Truth” systems that unify global trading data for Finance, Operations, and Regulatory partners, and applications that trace trades from raw execution",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b7566a2730bb02e22716626a693f2a20:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.cae9651b502164a233",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer II Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing and building “Source of Truth” systems that unify global trading data for Finance, Operations, and Regulatory partners, and applications that trace trades from raw execution",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b7566a2730bb02e22716626a693f2a20:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fe45455e789d2463e8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer II Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing and building “Source of Truth” systems that unify global trading data for Finance, Operations, and Regulatory partners, and applications that trace trades from raw execution",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b7566a2730bb02e22716626a693f2a20:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.815448f1adb6fb1848",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b7566a2730bb02e22716626a693f2a20:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8ab133593334ff268f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b7566a2730bb02e22716626a693f2a20:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e13b6d2cbd20b0a799",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b7566a2730bb02e22716626a693f2a20:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.266b0bae0696d62cdd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b7c3429b35683f340d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e3002ae612ce76f9a8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b7566a2730bb02e22716626a693f2a20",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "c2ae3f25a33a4aea350b99cbb18cfc56",
      "title": "Reliability Engineer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore, Hong Kong",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T08:29:27.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=8000035",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Reliability Engineer Singapore, Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing the widely-deployed Order Management Systems and Market Data Delivery Systems involving every major electronic exchange and asset class - Working closely with trading teams,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.10977642dff4335b5f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Reliability Engineer Singapore, Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing the widely-deployed Order Management Systems and Market Data Delivery Systems involving every major electronic exchange and asset class - Working closely with trading teams,",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c2ae3f25a33a4aea350b99cbb18cfc56:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2a73ed96f52de884a9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Reliability Engineer Singapore, Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing the widely-deployed Order Management Systems and Market Data Delivery Systems involving every major electronic exchange and asset class - Working closely with trading teams,",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c2ae3f25a33a4aea350b99cbb18cfc56:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c6c98e9f21a76def86",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Reliability Engineer Singapore, Hong Kong Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Managing the widely-deployed Order Management Systems and Market Data Delivery Systems involving every major electronic exchange and asset class - Working closely with trading teams,",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c2ae3f25a33a4aea350b99cbb18cfc56:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9f4235121584d7d270",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c2ae3f25a33a4aea350b99cbb18cfc56:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b65dc2cff96f6c9703",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c2ae3f25a33a4aea350b99cbb18cfc56:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e317e2cab5538d0ccd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c2ae3f25a33a4aea350b99cbb18cfc56:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1d075eaeef005a7920",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d8a973dbebd301f3cc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ff7c772a0a03bd9022",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c2ae3f25a33a4aea350b99cbb18cfc56",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "c87ff91c3c143e563d3ad08a67a7773a",
      "title": "Software Engineer I",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-09-26T10:17:44.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7270660",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer I Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely with software developers, QA, support teams and Stakeholders located in the US, Europe, and Asia regions. - Design test artifacts based on the project",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.813c3e49429beb67a4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer I Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely with software developers, QA, support teams and Stakeholders located in the US, Europe, and Asia regions. - Design test artifacts based on the project",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c87ff91c3c143e563d3ad08a67a7773a:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.96c62db4f5ecb699ce",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer I Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely with software developers, QA, support teams and Stakeholders located in the US, Europe, and Asia regions. - Design test artifacts based on the project",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c87ff91c3c143e563d3ad08a67a7773a:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f4494a3aa133fe2023",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer I Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely with software developers, QA, support teams and Stakeholders located in the US, Europe, and Asia regions. - Design test artifacts based on the project",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c87ff91c3c143e563d3ad08a67a7773a:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3fdf543a0570217758",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c87ff91c3c143e563d3ad08a67a7773a:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.445ff48b31e479a8fc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c87ff91c3c143e563d3ad08a67a7773a:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b02dad53f8168742a0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c87ff91c3c143e563d3ad08a67a7773a:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.836f06d79ee9af073d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ae337281cfb4b6a010",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c388029dc27a951f1e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c87ff91c3c143e563d3ad08a67a7773a",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "c9c5e4f31d3f98ef74911d4fee299a7f",
      "title": "Experienced Quantitative Trader",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Multiple Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 150000,
      "salary_max": 250000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-10-13T14:36:21.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=16619",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Experienced Quantitative Trader Multiple Locations Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Qualifications - A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree - A strategy that is currently and consistently profitable, we",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "trades",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.35ec6e8fd33cec507b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Experienced Quantitative Trader Multiple Locations Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Qualifications - A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree - A strategy that is currently and consistently profitable, we",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c9c5e4f31d3f98ef74911d4fee299a7f:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.953437081133dd5e58",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Experienced Quantitative Trader Multiple Locations Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Qualifications - A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree - A strategy that is currently and consistently profitable, we",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c9c5e4f31d3f98ef74911d4fee299a7f:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.983cf1cfdbe8d14b50",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Experienced Quantitative Trader Multiple Locations Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Qualifications - A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree - A strategy that is currently and consistently profitable, we",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c9c5e4f31d3f98ef74911d4fee299a7f:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.26f2b36148e4fb8f4b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c9c5e4f31d3f98ef74911d4fee299a7f:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8a8e10004c8d425a08",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c9c5e4f31d3f98ef74911d4fee299a7f:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b582a9c9391147c37a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c9c5e4f31d3f98ef74911d4fee299a7f:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0cb5fe0c67433e979e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.503d31097586baa7c9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8ebf7990f43907830d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c9c5e4f31d3f98ef74911d4fee299a7f",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "df0b3f094282534044375d23ef3d9af6",
      "title": "Senior Hardware Engineer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-09T12:22:40.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7645652",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Hardware Engineer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 10,
      "years_experience_max": 14,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.38cbfe238b79906254",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Hardware Engineer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df0b3f094282534044375d23ef3d9af6:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4c94b9dd98b4525c61",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Hardware Engineer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df0b3f094282534044375d23ef3d9af6:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c26bf05978774832b3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Hardware Engineer Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Collaborating with software developers across divisions to architect low-latency connections to financial exchanges around the world - Building advanced Ethernet-based communication stacks direct from chip to",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df0b3f094282534044375d23ef3d9af6:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.41097e96bda5132028",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df0b3f094282534044375d23ef3d9af6:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d46c48ccdd9e05bf3a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df0b3f094282534044375d23ef3d9af6:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fd280d7e734bbd1f3f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df0b3f094282534044375d23ef3d9af6:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0acb97a11783ed0053",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.25d49723d4ba312c61",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.41df4ecffcfc40dd32",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df0b3f094282534044375d23ef3d9af6",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "df9e1433e23aea2e019ddfb69edfb110",
      "title": "Information Security Engineer III",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurgaon",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-25T04:43:59.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7746119",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Information Security Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Key responsibilities: - Developing and implementing automated systems (Python/Bash) to identify known security exposures and Engineering security infrastructure to optimize efficiency, expand capabilities, meet client requirements -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2af79333b56d1d78e7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Information Security Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Key responsibilities: - Developing and implementing automated systems (Python/Bash) to identify known security exposures and Engineering security infrastructure to optimize efficiency, expand capabilities, meet client requirements -",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df9e1433e23aea2e019ddfb69edfb110:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a28d64fec293fca0a5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Information Security Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Key responsibilities: - Developing and implementing automated systems (Python/Bash) to identify known security exposures and Engineering security infrastructure to optimize efficiency, expand capabilities, meet client requirements -",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df9e1433e23aea2e019ddfb69edfb110:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e5d6baca7473daf35e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Information Security Engineer III Gurgaon Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Key responsibilities: - Developing and implementing automated systems (Python/Bash) to identify known security exposures and Engineering security infrastructure to optimize efficiency, expand capabilities, meet client requirements -",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df9e1433e23aea2e019ddfb69edfb110:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2b2f547ec062803495",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df9e1433e23aea2e019ddfb69edfb110:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9d2a84f14535211417",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df9e1433e23aea2e019ddfb69edfb110:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a5f0a1f6a71c0bd00f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:df9e1433e23aea2e019ddfb69edfb110:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5d0b42dd2e4a2b3683",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.dbbcc93600a1415b42",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f1c1fece577015a58d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "df9e1433e23aea2e019ddfb69edfb110",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e0510781d62db5a6f18d96b945b8367b",
      "title": "Quantitative Developer (C++)",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Hong Kong, Shanghai",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2024-10-02T05:33:10.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6296510",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Quantitative Developer (C++) Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. You will be working for a successful MFT trading team, helping to enhance existing capabilities and increase robustness of live trading. Responsibilities - Designing and implementing",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.63ba0d532bd81cb168",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer (C++) Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. You will be working for a successful MFT trading team, helping to enhance existing capabilities and increase robustness of live trading. Responsibilities - Designing and implementing",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e0510781d62db5a6f18d96b945b8367b:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9215e720c612f62acf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer (C++) Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. You will be working for a successful MFT trading team, helping to enhance existing capabilities and increase robustness of live trading. Responsibilities - Designing and implementing",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e0510781d62db5a6f18d96b945b8367b:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f7e6bffc23f25106bb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Quantitative Developer (C++) Hong Kong, Shanghai Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. You will be working for a successful MFT trading team, helping to enhance existing capabilities and increase robustness of live trading. Responsibilities - Designing and implementing",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e0510781d62db5a6f18d96b945b8367b:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6ea10e60faf8f3ec4f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e0510781d62db5a6f18d96b945b8367b:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bdbbf5863bedfd6cf0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e0510781d62db5a6f18d96b945b8367b:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fb19a478881d0e7e35",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e0510781d62db5a6f18d96b945b8367b:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6d543cf5e403b1f8c1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8ff7261b68a4bd2d20",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.db1129e9a34d536ebc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e0510781d62db5a6f18d96b945b8367b",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e38fb753af6adceeb08d15efac770713",
      "title": "Software Developer",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "total comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2019-10-16T08:52:54.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=1904195",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world - Assisting in",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.293b1946fcdff47d18",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world - Assisting in",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e38fb753af6adceeb08d15efac770713:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.97c73345c38d074332",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world - Assisting in",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e38fb753af6adceeb08d15efac770713:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c13f7fb485ebd58852",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world - Assisting in",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e38fb753af6adceeb08d15efac770713:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2844276c721f4ef1f1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e38fb753af6adceeb08d15efac770713:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5330c6a9e49a02bf4d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e38fb753af6adceeb08d15efac770713:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b16ce00c3f4b9f057a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e38fb753af6adceeb08d15efac770713:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.127b1b97ec45222292",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7b6771d8dd00b16cb6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fde7c4e573e43ec95f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e38fb753af6adceeb08d15efac770713",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e7ac966dc9686a3252b5f4b420366ffe",
      "title": "Production Trader",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York, NY",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 120000,
      "salary_max": 200000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 120000,
      "base_salary_max": 200000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2024-06-26T20:59:08.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6071865",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Production Trader New York, NY Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. We are seeking a talented and experienced Production Trader to join a Market Making team focusing on futures, ETFs and stocks in a fully automatised, low latency",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "operations",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.24f2d0fefbf45e839f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Production Trader New York, NY Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. We are seeking a talented and experienced Production Trader to join a Market Making team focusing on futures, ETFs and stocks in a fully automatised, low latency",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e7ac966dc9686a3252b5f4b420366ffe:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.558282b08e8bc873cc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Production Trader New York, NY Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. We are seeking a talented and experienced Production Trader to join a Market Making team focusing on futures, ETFs and stocks in a fully automatised, low latency",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e7ac966dc9686a3252b5f4b420366ffe:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.89d057f85cc785ecd7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Production Trader New York, NY Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. We are seeking a talented and experienced Production Trader to join a Market Making team focusing on futures, ETFs and stocks in a fully automatised, low latency",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e7ac966dc9686a3252b5f4b420366ffe:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3cbcb05abfba065a65",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e7ac966dc9686a3252b5f4b420366ffe:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4337cf241ac75cd247",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e7ac966dc9686a3252b5f4b420366ffe:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cb4e33d08aeb0cab36",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e7ac966dc9686a3252b5f4b420366ffe:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.00f52902fdfc2b3f6b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.be4d883a48f5a129f0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d8aebda3a3260223ea",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e7ac966dc9686a3252b5f4b420366ffe",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f706006d3ddaf5f365565d6ebbce974e",
      "title": "Risk Intern - 6 Month Internship Opportunity",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Singapore",
      "country": "SG",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-08T05:25:31.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7789933",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Risk Intern - 6 Month Internship Opportunity Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely and supporting the regional risk team to develop, implement, and enhance existing risk models, quantitative analytics, reports, and processes as",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.260dcd57ef21ad5d40",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Intern - 6 Month Internship Opportunity Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely and supporting the regional risk team to develop, implement, and enhance existing risk models, quantitative analytics, reports, and processes as",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f706006d3ddaf5f365565d6ebbce974e:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2e64b08d4d7f04d4d3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Intern - 6 Month Internship Opportunity Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely and supporting the regional risk team to develop, implement, and enhance existing risk models, quantitative analytics, reports, and processes as",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f706006d3ddaf5f365565d6ebbce974e:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8cc15c8406b8c8d719",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Intern - 6 Month Internship Opportunity Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Working closely and supporting the regional risk team to develop, implement, and enhance existing risk models, quantitative analytics, reports, and processes as",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f706006d3ddaf5f365565d6ebbce974e:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.274b600836ca9239af",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f706006d3ddaf5f365565d6ebbce974e:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.977ef7f495569f4888",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f706006d3ddaf5f365565d6ebbce974e:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c96f4119251a7b783b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f706006d3ddaf5f365565d6ebbce974e:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.33b44ef6b15f1bf5f5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3d7ad126488486e5ff",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ccba3717607fab6833",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f706006d3ddaf5f365565d6ebbce974e",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f7292bafdad034f1f6cd0bf718b8a72b",
      "title": "Software Engineer, Development Tools",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 250000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base_plus_commission",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 250000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-02-25T21:29:16.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6583599",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer, Development Tools New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and scalability of build systems",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8184714aa4ff169bfd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Development Tools New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and scalability of build systems",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7292bafdad034f1f6cd0bf718b8a72b:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9c1d581dda5c16af66",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Development Tools New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and scalability of build systems",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7292bafdad034f1f6cd0bf718b8a72b:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bc583f314ff11c2657",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Software Engineer, Development Tools New York Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: - Designing, building, and enhancing tools that support developer productivity, systems infrastructure, and DevOps practices - Contributing to the architecture and scalability of build systems",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7292bafdad034f1f6cd0bf718b8a72b:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2cf9591cbd431198c1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7292bafdad034f1f6cd0bf718b8a72b:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4c864b8efd2e996169",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7292bafdad034f1f6cd0bf718b8a72b:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.bdf68ec235ba1a3f83",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f7292bafdad034f1f6cd0bf718b8a72b:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1d8f068cf844aa64cf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c380775c8763b74cdd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e89c591e2edfaa056f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f7292bafdad034f1f6cd0bf718b8a72b",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "54ce04a9726fad0d85cde8c7f68b77ce",
      "title": "Ingénieur de logiciels chevronné (C++) / Experienced Software Developer (C++)",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montréal",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2022-01-28T22:13:47.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=3878081",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Ingénieur de logiciels chevronné (C++) / Experienced Software Developer (C++) Montréal",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5e9b34f5f4267bb392",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54ce04a9726fad0d85cde8c7f68b77ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54ce04a9726fad0d85cde8c7f68b77ce:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f221b711a949ccc8a3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54ce04a9726fad0d85cde8c7f68b77ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54ce04a9726fad0d85cde8c7f68b77ce:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fda8f1ed29ce8fafba",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54ce04a9726fad0d85cde8c7f68b77ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:54ce04a9726fad0d85cde8c7f68b77ce:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.3707f4df0e740f9b87",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54ce04a9726fad0d85cde8c7f68b77ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7e012f352c526fda45",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54ce04a9726fad0d85cde8c7f68b77ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c08af4e94caa80a9a5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "54ce04a9726fad0d85cde8c7f68b77ce",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3cdd7f556ec47aff65490ab35ac6d4b5",
      "title": "Senior Associate , Trade Operations",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gift City",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-04-10T07:42:57.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6784356",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Associate , Trade Operations Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. Responsibilities : - Handling of deliveries with clearing corporation on a daily basis for India Equities market - Generating and placing delivery instructions on the depository portals like NSDL and CDSL - Ensuring full compliance is met with regulatory requirements - Supporting clearing and settlement processes across multiple",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "operations",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.096025ff981efd6c8c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Associate , Trade Operations Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. Responsibilities : - Handling of deliveries with clearing corporation on a daily basis for India Equities market - Generating and placing delivery instructions on the depository portals like NSDL and CDSL - Ensuring full compliance is met with regulatory requirements - Supporting clearing and settlement processes across multiple",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3cdd7f556ec47aff65490ab35ac6d4b5:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0cdb796f9766d7f105",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Associate , Trade Operations Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. Responsibilities : - Handling of deliveries with clearing corporation on a daily basis for India Equities market - Generating and placing delivery instructions on the depository portals like NSDL and CDSL - Ensuring full compliance is met with regulatory requirements - Supporting clearing and settlement processes across multiple",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3cdd7f556ec47aff65490ab35ac6d4b5:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4c070ebf2e1c3a9700",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Associate , Trade Operations Gift City Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. Responsibilities : - Handling of deliveries with clearing corporation on a daily basis for India Equities market - Generating and placing delivery instructions on the depository portals like NSDL and CDSL - Ensuring full compliance is met with regulatory requirements - Supporting clearing and settlement processes across multiple",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3cdd7f556ec47aff65490ab35ac6d4b5:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.12df443189eb6aec2d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3cdd7f556ec47aff65490ab35ac6d4b5:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.443efb9e5f645a2f7e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3cdd7f556ec47aff65490ab35ac6d4b5:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c91c8d99730702d037",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:3cdd7f556ec47aff65490ab35ac6d4b5:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c646f2d1a3a0499215",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.da72f2ed744de872fc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e31828607a3eaa0951",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "3cdd7f556ec47aff65490ab35ac6d4b5",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a576f926b7e2a2024770309da52b46be",
      "title": "Associate Finance",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Gurugram",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-13T11:50:09.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7920883",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate Finance Gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. The Testing and Automation Group is responsible for developing, maintaining and supporting automation test frameworks across organisations for a variety of testing needs. We also own the responsibility of formalizing testing methodologies, analysis of failures and enforcement of quality metrics. We facilitate continuous integration and testing by creating and maintaining automation test",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7cb3557fd541b001de",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate Finance Gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. The Testing and Automation Group is responsible for developing, maintaining and supporting automation test frameworks across organisations for a variety of testing needs. We also own the responsibility of formalizing testing methodologies, analysis of failures and enforcement of quality metrics. We facilitate continuous integration and testing by creating and maintaining automation test",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a576f926b7e2a2024770309da52b46be:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.886eb78c9f06c35413",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate Finance Gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. The Testing and Automation Group is responsible for developing, maintaining and supporting automation test frameworks across organisations for a variety of testing needs. We also own the responsibility of formalizing testing methodologies, analysis of failures and enforcement of quality metrics. We facilitate continuous integration and testing by creating and maintaining automation test",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a576f926b7e2a2024770309da52b46be:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.98786014102dbd4403",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Associate Finance Gurugram Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. The Testing and Automation Group is responsible for developing, maintaining and supporting automation test frameworks across organisations for a variety of testing needs. We also own the responsibility of formalizing testing methodologies, analysis of failures and enforcement of quality metrics. We facilitate continuous integration and testing by creating and maintaining automation test",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a576f926b7e2a2024770309da52b46be:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.036ef68ecf90c0d832",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a576f926b7e2a2024770309da52b46be:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.720aa2efde18f3157f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a576f926b7e2a2024770309da52b46be:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e396cf752ee24e866c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a576f926b7e2a2024770309da52b46be:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1a2f3e60cb28503bde",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.39e37607e81c30a8d6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.626ec6ee391e7d796a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a576f926b7e2a2024770309da52b46be",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "feef67e626fb3232932eb4e8f9c84a48",
      "title": "Risk Capital Analyst",
      "employer_name": "Morgan Stanley",
      "employer_slug": "ms",
      "location_text": "Budapest Millennium Tower III",
      "country": "HU",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-28T00:00:00.000Z",
      "apply_url": "https://ms.wd5.myworkdayjobs.com/External/job/Budapest-Millennium-Tower-III/Risk-Capital-Analyst_JR001113",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Risk Capital Analyst Budapest Millennium Tower III posted: Posted 15 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.dc47cf8d2bc446931c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "feef67e626fb3232932eb4e8f9c84a48",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Capital Analyst Budapest Millennium Tower III posted: Posted 15 Days Ago",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:feef67e626fb3232932eb4e8f9c84a48:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f613f816c0715e0e4c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "feef67e626fb3232932eb4e8f9c84a48",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Risk Capital Analyst Budapest Millennium Tower III posted: Posted 15 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:feef67e626fb3232932eb4e8f9c84a48:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.9ca69451c1cde38399",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "feef67e626fb3232932eb4e8f9c84a48",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Budapest Millennium Tower III",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:feef67e626fb3232932eb4e8f9c84a48:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8967a15a606c3d2052",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "feef67e626fb3232932eb4e8f9c84a48",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Risk Capital Analyst",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:feef67e626fb3232932eb4e8f9c84a48:title:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.7eb371ebceee83df2d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "feef67e626fb3232932eb4e8f9c84a48",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Budapest Millennium Tower III",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.4fb65b8ddfd4aec93e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "feef67e626fb3232932eb4e8f9c84a48",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Risk Capital Analyst",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d56f33350237ab7e9f0ce1c03822feb0",
      "title": "Treasury Capital Markets Analyst",
      "employer_name": "Morgan Stanley",
      "employer_slug": "ms",
      "location_text": "Budapest Millennium Tower II",
      "country": "HU",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://ms.wd5.myworkdayjobs.com/External/job/Budapest-Millennium-Tower-II/Treasury-Analyst-Associate-Director_JR002947-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Treasury Capital Markets Analyst Budapest Millennium Tower II posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c2019d2a441b94aa75",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d56f33350237ab7e9f0ce1c03822feb0",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Treasury Capital Markets Analyst Budapest Millennium Tower II posted: Posted 30+ Days Ago",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d56f33350237ab7e9f0ce1c03822feb0:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ea8169f364f9e0071e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d56f33350237ab7e9f0ce1c03822feb0",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Treasury Capital Markets Analyst Budapest Millennium Tower II posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d56f33350237ab7e9f0ce1c03822feb0:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.14a7c08ec5d63fe06f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d56f33350237ab7e9f0ce1c03822feb0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Budapest Millennium Tower II",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d56f33350237ab7e9f0ce1c03822feb0:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8eb4076fcefdcbffd7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d56f33350237ab7e9f0ce1c03822feb0",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Treasury Capital Markets Analyst",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d56f33350237ab7e9f0ce1c03822feb0:title:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.c321ece297929fd6aa",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d56f33350237ab7e9f0ce1c03822feb0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Budapest Millennium Tower II",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e64422ee679a2f02ff",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d56f33350237ab7e9f0ce1c03822feb0",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Treasury Capital Markets Analyst",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "b8648a7804483277a311748a1ece1581",
      "title": "Research Analyst, Equity Research - IFRS1/LATAM",
      "employer_name": "FactSet",
      "employer_slug": "factset",
      "location_text": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
      "country": "PH",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/Philippines-Manila-One-Le-Grand-Tower-Manila---One-Le-Grand/Research-Analyst--Equity-Research---IFRS1-LATAM_R30015",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Analyst, Equity Research - IFRS1/LATAM Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1998b81e83f8d59965",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b8648a7804483277a311748a1ece1581",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst, Equity Research - IFRS1/LATAM Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b8648a7804483277a311748a1ece1581:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6fcadbf21559e7c2be",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b8648a7804483277a311748a1ece1581",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst, Equity Research - IFRS1/LATAM Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b8648a7804483277a311748a1ece1581:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.f0b751d2fe8fbe5e3f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b8648a7804483277a311748a1ece1581",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b8648a7804483277a311748a1ece1581:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.4aa0f0ace4018849e6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b8648a7804483277a311748a1ece1581",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Analyst, Equity Research - IFRS1/LATAM",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:b8648a7804483277a311748a1ece1581:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.1a07338e1341b6dd9a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b8648a7804483277a311748a1ece1581",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3280aad0a397fe9b91",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "b8648a7804483277a311748a1ece1581",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Analyst, Equity Research - IFRS1/LATAM",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0afd3f442248c3d167dacd2f5fd44ab7",
      "title": "Research Technician",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Smith Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-01T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Smith-Tower/Research-Technician_JR-7845-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Technician HM Texas Medical Center - Smith Tower posted: Posted 11 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1f6a801348d0a103b0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0afd3f442248c3d167dacd2f5fd44ab7",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Technician HM Texas Medical Center - Smith Tower posted: Posted 11 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0afd3f442248c3d167dacd2f5fd44ab7:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b57805c0f11e931123",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0afd3f442248c3d167dacd2f5fd44ab7",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Technician HM Texas Medical Center - Smith Tower posted: Posted 11 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0afd3f442248c3d167dacd2f5fd44ab7:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.13db61e3f29c4919b6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0afd3f442248c3d167dacd2f5fd44ab7",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0afd3f442248c3d167dacd2f5fd44ab7:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7bf1abacb43d872e87",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0afd3f442248c3d167dacd2f5fd44ab7",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Technician",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0afd3f442248c3d167dacd2f5fd44ab7:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.e2fc630dd90fd03a89",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0afd3f442248c3d167dacd2f5fd44ab7",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1d8b2b4347cd3f25b1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0afd3f442248c3d167dacd2f5fd44ab7",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Technician",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "9ee482a4b6b7b839b4be597cd4f574f6",
      "title": "Research Technician I",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Smith Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Smith-Tower/Reserach-Tech-I_JR-9157-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Technician I HM Texas Medical Center - Smith Tower posted: Posted 9 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.268ebc56ad94e6f9ba",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9ee482a4b6b7b839b4be597cd4f574f6",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Technician I HM Texas Medical Center - Smith Tower posted: Posted 9 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9ee482a4b6b7b839b4be597cd4f574f6:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b52aa8fda402d95fa0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9ee482a4b6b7b839b4be597cd4f574f6",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Technician I HM Texas Medical Center - Smith Tower posted: Posted 9 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9ee482a4b6b7b839b4be597cd4f574f6:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.cd4559c364b3a32974",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9ee482a4b6b7b839b4be597cd4f574f6",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9ee482a4b6b7b839b4be597cd4f574f6:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8d867b520190f29474",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9ee482a4b6b7b839b4be597cd4f574f6",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Technician I",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9ee482a4b6b7b839b4be597cd4f574f6:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.1a079466fda5f1f5f1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9ee482a4b6b7b839b4be597cd4f574f6",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a30ee4445954e08307",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9ee482a4b6b7b839b4be597cd4f574f6",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Technician I",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a55aa1f28c43dfeac5a40745e208c333",
      "title": "Clinical Research Specialist (Patient Engagement Research Lab – Department of Surgery)",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Clinical-Research-Specialist_JR-6127-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Research Specialist (Patient Engagement Research Lab – Department of Surgery) HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3736289c3ea33f021d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a55aa1f28c43dfeac5a40745e208c333",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Specialist (Patient Engagement Research Lab – Department of Surgery) HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a55aa1f28c43dfeac5a40745e208c333:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.aa1b7aadde1fee5ffa",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a55aa1f28c43dfeac5a40745e208c333",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Specialist (Patient Engagement Research Lab – Department of Surgery) HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a55aa1f28c43dfeac5a40745e208c333:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.0855b756dcaf41bafb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a55aa1f28c43dfeac5a40745e208c333",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a55aa1f28c43dfeac5a40745e208c333:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a6d76130841161b655",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a55aa1f28c43dfeac5a40745e208c333",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Research Specialist (Patient Engagement Research Lab – Department of Surgery)",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a55aa1f28c43dfeac5a40745e208c333:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.1287b7b6737cbe2d34",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a55aa1f28c43dfeac5a40745e208c333",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.e36f6eefaaacfcc853",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a55aa1f28c43dfeac5a40745e208c333",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Research Specialist (Patient Engagement Research Lab – Department of Surgery)",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0b2a6b4213104e42b95d3cfbbde72eec",
      "title": "AI Research Scientist",
      "employer_name": "Merck & Co., Inc.",
      "employer_slug": "msd",
      "location_text": "SGP - Singapore - Singapore (Boulevard Towers)",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://msd.wd5.myworkdayjobs.com/SearchJobs/job/SGP---Singapore---Singapore-Boulevard-Towers/AI-Research-Scientist_R399050-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Research Scientist SGP - Singapore - Singapore (Boulevard Towers) posted: Posted 14 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.007515713b3d049b2b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0b2a6b4213104e42b95d3cfbbde72eec",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Research Scientist SGP - Singapore - Singapore (Boulevard Towers) posted: Posted 14 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0b2a6b4213104e42b95d3cfbbde72eec:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.730487e42fb5618bd8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0b2a6b4213104e42b95d3cfbbde72eec",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Research Scientist SGP - Singapore - Singapore (Boulevard Towers) posted: Posted 14 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0b2a6b4213104e42b95d3cfbbde72eec:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.83fb9c1d2c49b4be13",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0b2a6b4213104e42b95d3cfbbde72eec",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "SGP - Singapore - Singapore (Boulevard Towers)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0b2a6b4213104e42b95d3cfbbde72eec:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.1ba208d890984b66de",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0b2a6b4213104e42b95d3cfbbde72eec",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Research Scientist",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0b2a6b4213104e42b95d3cfbbde72eec:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.cf5e33f453e04cfa55",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0b2a6b4213104e42b95d3cfbbde72eec",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "SGP - Singapore - Singapore (Boulevard Towers)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a287ec76e72d60954f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0b2a6b4213104e42b95d3cfbbde72eec",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Research Scientist",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "586f489f41a199a3872f167e7b02e4d5",
      "title": "Sr. Manager, Biomarker Research",
      "employer_name": "Merck & Co., Inc.",
      "employer_slug": "msd",
      "location_text": "CHN - Shanghai - Shanghai (Tower A)",
      "country": "CN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T00:00:00.000Z",
      "apply_url": "https://msd.wd5.myworkdayjobs.com/SearchJobs/job/CHN---Shanghai---Shanghai-Tower-A/Sr-Manager--Biomarker-Research_R387948",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. Manager, Biomarker Research CHN - Shanghai - Shanghai (Tower A) posted: Posted 9 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.70b1dc1044d750bfff",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "586f489f41a199a3872f167e7b02e4d5",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr. Manager, Biomarker Research CHN - Shanghai - Shanghai (Tower A) posted: Posted 9 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:586f489f41a199a3872f167e7b02e4d5:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d0b818458b0afa396f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "586f489f41a199a3872f167e7b02e4d5",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr. Manager, Biomarker Research CHN - Shanghai - Shanghai (Tower A) posted: Posted 9 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:586f489f41a199a3872f167e7b02e4d5:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.8bb7978f08678d15f7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "586f489f41a199a3872f167e7b02e4d5",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "CHN - Shanghai - Shanghai (Tower A)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:586f489f41a199a3872f167e7b02e4d5:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b5645aec0646af6111",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "586f489f41a199a3872f167e7b02e4d5",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Sr. Manager, Biomarker Research",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:586f489f41a199a3872f167e7b02e4d5:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.b7097a46a790d0230e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "586f489f41a199a3872f167e7b02e4d5",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "CHN - Shanghai - Shanghai (Tower A)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.abc6eec0791164c945",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "586f489f41a199a3872f167e7b02e4d5",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Sr. Manager, Biomarker Research",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6f8376b0ac7bdbc69c7da3754b026a7c",
      "title": "Research Scientific Director",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Research-Scientific-Director_JR-2022",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Scientific Director HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2c9ae05f70c71e343c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6f8376b0ac7bdbc69c7da3754b026a7c",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Scientific Director HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6f8376b0ac7bdbc69c7da3754b026a7c:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d8075a659507b17166",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6f8376b0ac7bdbc69c7da3754b026a7c",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Scientific Director HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6f8376b0ac7bdbc69c7da3754b026a7c:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.74d732c756d56cb52e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6f8376b0ac7bdbc69c7da3754b026a7c",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6f8376b0ac7bdbc69c7da3754b026a7c:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.482137135d0b0a02ae",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6f8376b0ac7bdbc69c7da3754b026a7c",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Scientific Director",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6f8376b0ac7bdbc69c7da3754b026a7c:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.f38db52e049e87d307",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6f8376b0ac7bdbc69c7da3754b026a7c",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.332889ce992f73c447",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6f8376b0ac7bdbc69c7da3754b026a7c",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Scientific Director",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "867cfa13e1158923489b0587ea73a2af",
      "title": "Research Coordinator III",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Smith Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Smith-Tower/Research-Coordinator-III_JR-3958-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Coordinator III HM Texas Medical Center - Smith Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.861bf0a48272f620f0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "867cfa13e1158923489b0587ea73a2af",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Coordinator III HM Texas Medical Center - Smith Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:867cfa13e1158923489b0587ea73a2af:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9d50ea92347ab1d1d6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "867cfa13e1158923489b0587ea73a2af",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Coordinator III HM Texas Medical Center - Smith Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:867cfa13e1158923489b0587ea73a2af:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.5259d4bf53d9a13b90",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "867cfa13e1158923489b0587ea73a2af",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:867cfa13e1158923489b0587ea73a2af:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.32df8b6c1f88b6aa7e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "867cfa13e1158923489b0587ea73a2af",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Coordinator III",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:867cfa13e1158923489b0587ea73a2af:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.c6ef7dee22dbf95e19",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "867cfa13e1158923489b0587ea73a2af",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.67d0881995c1797097",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "867cfa13e1158923489b0587ea73a2af",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Coordinator III",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8fd49d3f81e0de50560c59d757d0eb0b",
      "title": "Graduate Research Fellow",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Brown Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-15T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Brown-Tower/Graduate-Research-Fellow_JR-7255",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Graduate Research Fellow HM Texas Medical Center - Brown Tower posted: Posted 28 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.334945d9ae90010649",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8fd49d3f81e0de50560c59d757d0eb0b",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Graduate Research Fellow HM Texas Medical Center - Brown Tower posted: Posted 28 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8fd49d3f81e0de50560c59d757d0eb0b:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3f70cb459eb9eb0755",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8fd49d3f81e0de50560c59d757d0eb0b",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Graduate Research Fellow HM Texas Medical Center - Brown Tower posted: Posted 28 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8fd49d3f81e0de50560c59d757d0eb0b:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.4097220e33061eec59",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8fd49d3f81e0de50560c59d757d0eb0b",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Brown Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8fd49d3f81e0de50560c59d757d0eb0b:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ba7a358600d47de58c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8fd49d3f81e0de50560c59d757d0eb0b",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Graduate Research Fellow",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8fd49d3f81e0de50560c59d757d0eb0b:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.2fa6caa226e530de72",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8fd49d3f81e0de50560c59d757d0eb0b",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Brown Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.df7894b0f493a686b2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8fd49d3f81e0de50560c59d757d0eb0b",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Graduate Research Fellow",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "13bc1678a330a83e1a0dd3981f5e9d9f",
      "title": "AI Research Scientist (R2)",
      "employer_name": "Merck & Co., Inc.",
      "employer_slug": "msd",
      "location_text": "SGP - Singapore - Singapore (Boulevard Towers)",
      "country": "SG",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://msd.wd5.myworkdayjobs.com/SearchJobs/job/SGP---Singapore---Singapore-Boulevard-Towers/AI-Research-Scientist--R2-_R391745",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Research Scientist (R2) SGP - Singapore - Singapore (Boulevard Towers) posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.de512c9ffc9b48c0b0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "13bc1678a330a83e1a0dd3981f5e9d9f",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Research Scientist (R2) SGP - Singapore - Singapore (Boulevard Towers) posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:13bc1678a330a83e1a0dd3981f5e9d9f:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.eea170c5a4520d9760",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "13bc1678a330a83e1a0dd3981f5e9d9f",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Research Scientist (R2) SGP - Singapore - Singapore (Boulevard Towers) posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:13bc1678a330a83e1a0dd3981f5e9d9f:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.40dff65fc5b454c3d2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "13bc1678a330a83e1a0dd3981f5e9d9f",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "SGP - Singapore - Singapore (Boulevard Towers)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:13bc1678a330a83e1a0dd3981f5e9d9f:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.65de19f58a3ad27c31",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "13bc1678a330a83e1a0dd3981f5e9d9f",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "AI Research Scientist (R2)",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:13bc1678a330a83e1a0dd3981f5e9d9f:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.d5b9eb94a178d3ef22",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "13bc1678a330a83e1a0dd3981f5e9d9f",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "SGP - Singapore - Singapore (Boulevard Towers)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.030bd4aad5f57770c7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "13bc1678a330a83e1a0dd3981f5e9d9f",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "AI Research Scientist (R2)",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "071ebdd518d587fc65cd59952801e5be",
      "title": "Postdoctoral Research Fellow 1",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Brown Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Brown-Tower/Postdoctoral-Research-Fellow-1_JR-4409",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Postdoctoral Research Fellow 1 HM Texas Medical Center - Brown Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0b9f4b7c58913b4faf",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "071ebdd518d587fc65cd59952801e5be",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Postdoctoral Research Fellow 1 HM Texas Medical Center - Brown Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:071ebdd518d587fc65cd59952801e5be:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.62289468428a76bc93",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "071ebdd518d587fc65cd59952801e5be",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Postdoctoral Research Fellow 1 HM Texas Medical Center - Brown Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:071ebdd518d587fc65cd59952801e5be:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.98e1be184a7b577042",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "071ebdd518d587fc65cd59952801e5be",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Brown Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:071ebdd518d587fc65cd59952801e5be:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c20b0a764b258d31a2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "071ebdd518d587fc65cd59952801e5be",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Postdoctoral Research Fellow 1",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:071ebdd518d587fc65cd59952801e5be:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.bc3f1239685ac7a1ad",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "071ebdd518d587fc65cd59952801e5be",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Brown Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.aeaa58ae2581770585",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "071ebdd518d587fc65cd59952801e5be",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Postdoctoral Research Fellow 1",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4923fdd64d72dee94bfd05755c151742",
      "title": "Postdoctoral Research Fellow 2",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Brown Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-13T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Brown-Tower/Postdoctoral-Research-Fellow-2_JR-7599",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Postdoctoral Research Fellow 2 HM Texas Medical Center - Brown Tower posted: Posted 30 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.115dafe96e3a17b3c0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4923fdd64d72dee94bfd05755c151742",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Postdoctoral Research Fellow 2 HM Texas Medical Center - Brown Tower posted: Posted 30 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4923fdd64d72dee94bfd05755c151742:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a3366f5adb765dda66",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4923fdd64d72dee94bfd05755c151742",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Postdoctoral Research Fellow 2 HM Texas Medical Center - Brown Tower posted: Posted 30 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4923fdd64d72dee94bfd05755c151742:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.1ab4f9fb2ca6362a73",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4923fdd64d72dee94bfd05755c151742",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Brown Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4923fdd64d72dee94bfd05755c151742:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.fd9975dca3312f513d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4923fdd64d72dee94bfd05755c151742",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Postdoctoral Research Fellow 2",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4923fdd64d72dee94bfd05755c151742:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.3229474478814f2993",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4923fdd64d72dee94bfd05755c151742",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Brown Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.43dfdefdf166d6e4e5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4923fdd64d72dee94bfd05755c151742",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Postdoctoral Research Fellow 2",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "5c2b5c5b3a3da773aed51521c651aec0",
      "title": "Research Technician - Hu Lab",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Smith Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Smith-Tower/Research-Technician----Hu-Lab_JR-6573",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Technician - Hu Lab HM Texas Medical Center - Smith Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.068971771902f808eb",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c2b5c5b3a3da773aed51521c651aec0",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Technician - Hu Lab HM Texas Medical Center - Smith Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c2b5c5b3a3da773aed51521c651aec0:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bbabe6de04665c0e10",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c2b5c5b3a3da773aed51521c651aec0",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Technician - Hu Lab HM Texas Medical Center - Smith Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c2b5c5b3a3da773aed51521c651aec0:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.5d7fa96617157e9cef",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c2b5c5b3a3da773aed51521c651aec0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c2b5c5b3a3da773aed51521c651aec0:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7c27d471631e304b13",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c2b5c5b3a3da773aed51521c651aec0",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Technician - Hu Lab",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5c2b5c5b3a3da773aed51521c651aec0:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.3ce571f0a77d6bcc63",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c2b5c5b3a3da773aed51521c651aec0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Smith Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9bc21b571fd5c9486a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5c2b5c5b3a3da773aed51521c651aec0",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Technician - Hu Lab",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7e09b0729e456eb722c71f8e751ba457",
      "title": "Clinical Research Nurse - Neurology / Alzheimer",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Clinical-Research-Nurse---Neurology---Alzheimer_JR-9082-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Research Nurse - Neurology / Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted Yesterday",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.52fe351227e630120e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e09b0729e456eb722c71f8e751ba457",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Nurse - Neurology / Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted Yesterday",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e09b0729e456eb722c71f8e751ba457:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d2adc7b2066208fcbe",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e09b0729e456eb722c71f8e751ba457",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Nurse - Neurology / Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted Yesterday",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e09b0729e456eb722c71f8e751ba457:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.ca4d5cecd55ab091c7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e09b0729e456eb722c71f8e751ba457",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e09b0729e456eb722c71f8e751ba457:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bda37651b33c1aee0c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e09b0729e456eb722c71f8e751ba457",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Research Nurse - Neurology / Alzheimer",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:7e09b0729e456eb722c71f8e751ba457:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.50b8d84a2da62cfdff",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e09b0729e456eb722c71f8e751ba457",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.30962e62c3001d75f0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "7e09b0729e456eb722c71f8e751ba457",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Research Nurse - Neurology / Alzheimer",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a21423d317e231895e7b6d94b4d657b9",
      "title": "Clinical Research Fellow 0",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Clinical-Research-Fellow-0_JR-5437",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Research Fellow 0 HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9c34d8ba42d7e4062e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a21423d317e231895e7b6d94b4d657b9",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Fellow 0 HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a21423d317e231895e7b6d94b4d657b9:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b3c8d4d832d7139b99",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a21423d317e231895e7b6d94b4d657b9",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Fellow 0 HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a21423d317e231895e7b6d94b4d657b9:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.825772bfed426e9c5d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a21423d317e231895e7b6d94b4d657b9",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a21423d317e231895e7b6d94b4d657b9:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5a1236b45138e4f188",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a21423d317e231895e7b6d94b4d657b9",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Research Fellow 0",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a21423d317e231895e7b6d94b4d657b9:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.ad45a3de2574206f91",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a21423d317e231895e7b6d94b4d657b9",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.36161dc41c28a87f8b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a21423d317e231895e7b6d94b4d657b9",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Research Fellow 0",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f06a69173c8bb4a51bd07274d6974a94",
      "title": "Sr. Clinical Research Nurse",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Sr-Clinical-Research-Nurse_JR-7111-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. Clinical Research Nurse HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b5fc428c666778d929",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f06a69173c8bb4a51bd07274d6974a94",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr. Clinical Research Nurse HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f06a69173c8bb4a51bd07274d6974a94:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bf12fc59d2d9c64ed3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f06a69173c8bb4a51bd07274d6974a94",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr. Clinical Research Nurse HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f06a69173c8bb4a51bd07274d6974a94:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.5a4c1910387b92de8f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f06a69173c8bb4a51bd07274d6974a94",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f06a69173c8bb4a51bd07274d6974a94:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.52d73567c3bee5cae0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f06a69173c8bb4a51bd07274d6974a94",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Sr. Clinical Research Nurse",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:f06a69173c8bb4a51bd07274d6974a94:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.14be14ee581f2d304a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f06a69173c8bb4a51bd07274d6974a94",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ed2d2d9d3975e910c7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "f06a69173c8bb4a51bd07274d6974a94",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Sr. Clinical Research Nurse",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6e257b790822af2d7c56ea1de1c359eb",
      "title": "Analyste, Paie et Avantages sociaux / Analyst, Payroll & Benefits",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-08T18:25:42.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7793015",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Analyste, Paie et Avantages sociaux / Analyst, Payroll & Benefits Montreal Tower Research Capital est une société de trading quantitatif de premier plan fondée en 1998. Tower a construit son activité sur une plateforme haute performance et des équipes de trading indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation reconnue pour découvrir des opportunités de marché uniques. Tower regroupe certains des meilleurs talents mondiaux en trading systématique et en ingénierie. Nous permettons aux gérants de portefeuille de constituer leurs équipes et leurs stratégies de manière autonome, tout en bénéficiant des économies d'échelle d'une grande organisation mondiale. Les ingénieurs s'épanouissent chez Tower en développant des infrastructures de trading électronique de classe mondiale. Ils résolvent des problèmes complexes dans des domaines tels que la programmation à faible latence, la technologie FPGA, l'accélération matérielle et l'apprentissage automatique. Notre investissement continu dans les meilleurs talents et technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalités, d'évolutivité et de performance. Chez Tower, chaque employé contribue à notre succès. Nos équipes de support opérationnel sont essentielles à la construction et à la maintenance de la plateforme qui alimente toutes nos activités, combinant accès aux marchés, données, puissance de calcul et infrastructure de recherche avec la gestion des risques, la conformité et un ensemble complet de services métiers. Elles permettent à nos équipes de trading et d'ingénierie de donner le meilleur d'elles-mêmes. Chez Tower, les employés évoluent dans un environnement stimulant et orienté vers les résultats, où des collègues très",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4555646e9b3789ca4d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Analyste, Paie et Avantages sociaux / Analyst, Payroll & Benefits Montreal Tower Research Capital est une société de trading quantitatif de premier plan fondée en 1998. Tower a construit son activité sur une plateforme haute performance et des équipes de trading indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation reconnue pour découvrir des opportunités de marché uniques. Tower regroupe certains des meilleurs talents mondiaux en trading systématique et en ingénierie. Nous permettons aux gérants de portefeuille de constituer leurs équipes et leurs stratégies de manière autonome, tout en bénéficiant des économies d'échelle d'une grande organisation mondiale. Les ingénieurs s'épanouissent chez Tower en développant des infrastructures de trading électronique de classe mondiale. Ils résolvent des problèmes complexes dans des domaines tels que la programmation à faible latence, la technologie FPGA, l'accélération matérielle et l'apprentissage automatique. Notre investissement continu dans les meilleurs talents et technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalités, d'évolutivité et de performance. Chez Tower, chaque employé contribue à notre succès. Nos équipes de support opérationnel sont essentielles à la construction et à la maintenance de la plateforme qui alimente toutes nos activités, combinant accès aux marchés, données, puissance de calcul et infrastructure de recherche avec la gestion des risques, la conformité et un ensemble complet de services métiers. Elles permettent à nos équipes de trading et d'ingénierie de donner le meilleur d'elles-mêmes. Chez Tower, les employés évoluent dans un environnement stimulant et orienté vers les résultats, où des collègues très",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e257b790822af2d7c56ea1de1c359eb:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6478c1eefa32d72506",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Analyste, Paie et Avantages sociaux / Analyst, Payroll & Benefits Montreal Tower Research Capital est une société de trading quantitatif de premier plan fondée en 1998. Tower a construit son activité sur une plateforme haute performance et des équipes de trading indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation reconnue pour découvrir des opportunités de marché uniques. Tower regroupe certains des meilleurs talents mondiaux en trading systématique et en ingénierie. Nous permettons aux gérants de portefeuille de constituer leurs équipes et leurs stratégies de manière autonome, tout en bénéficiant des économies d'échelle d'une grande organisation mondiale. Les ingénieurs s'épanouissent chez Tower en développant des infrastructures de trading électronique de classe mondiale. Ils résolvent des problèmes complexes dans des domaines tels que la programmation à faible latence, la technologie FPGA, l'accélération matérielle et l'apprentissage automatique. Notre investissement continu dans les meilleurs talents et technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalités, d'évolutivité et de performance. Chez Tower, chaque employé contribue à notre succès. Nos équipes de support opérationnel sont essentielles à la construction et à la maintenance de la plateforme qui alimente toutes nos activités, combinant accès aux marchés, données, puissance de calcul et infrastructure de recherche avec la gestion des risques, la conformité et un ensemble complet de services métiers. Elles permettent à nos équipes de trading et d'ingénierie de donner le meilleur d'elles-mêmes. Chez Tower, les employés évoluent dans un environnement stimulant et orienté vers les résultats, où des collègues très",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e257b790822af2d7c56ea1de1c359eb:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.87ac8d3d9d2668d4fe",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Analyste, Paie et Avantages sociaux / Analyst, Payroll & Benefits Montreal Tower Research Capital est une société de trading quantitatif de premier plan fondée en 1998. Tower a construit son activité sur une plateforme haute performance et des équipes de trading indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation reconnue pour découvrir des opportunités de marché uniques. Tower regroupe certains des meilleurs talents mondiaux en trading systématique et en ingénierie. Nous permettons aux gérants de portefeuille de constituer leurs équipes et leurs stratégies de manière autonome, tout en bénéficiant des économies d'échelle d'une grande organisation mondiale. Les ingénieurs s'épanouissent chez Tower en développant des infrastructures de trading électronique de classe mondiale. Ils résolvent des problèmes complexes dans des domaines tels que la programmation à faible latence, la technologie FPGA, l'accélération matérielle et l'apprentissage automatique. Notre investissement continu dans les meilleurs talents et technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalités, d'évolutivité et de performance. Chez Tower, chaque employé contribue à notre succès. Nos équipes de support opérationnel sont essentielles à la construction et à la maintenance de la plateforme qui alimente toutes nos activités, combinant accès aux marchés, données, puissance de calcul et infrastructure de recherche avec la gestion des risques, la conformité et un ensemble complet de services métiers. Elles permettent à nos équipes de trading et d'ingénierie de donner le meilleur d'elles-mêmes. Chez Tower, les employés évoluent dans un environnement stimulant et orienté vers les résultats, où des collègues très",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e257b790822af2d7c56ea1de1c359eb:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2999067d6f18f586e3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e257b790822af2d7c56ea1de1c359eb:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.64f5bc5c3122c9b966",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e257b790822af2d7c56ea1de1c359eb:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8d4cdb5130e8e6c495",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6e257b790822af2d7c56ea1de1c359eb:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2a16ea5b41f5509e63",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5ea57cf9023e3a4ef0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b081df69d338253213",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6e257b790822af2d7c56ea1de1c359eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0fcfb0f174a187fb446bcff768f58e8a",
      "title": "Research Coordinator II - Neurology - Alzheimer",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Research-Coordinator-II---Neurology---Alzheimer_JR-5889-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Coordinator II - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.aefd3f8eb0aabc02d0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fcfb0f174a187fb446bcff768f58e8a",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Coordinator II - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fcfb0f174a187fb446bcff768f58e8a:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fd0286780f38b230b6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fcfb0f174a187fb446bcff768f58e8a",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Coordinator II - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fcfb0f174a187fb446bcff768f58e8a:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.06fb581ec0b7f69ed7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fcfb0f174a187fb446bcff768f58e8a",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fcfb0f174a187fb446bcff768f58e8a:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.39ba67da8260d93100",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fcfb0f174a187fb446bcff768f58e8a",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Coordinator II - Neurology - Alzheimer",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0fcfb0f174a187fb446bcff768f58e8a:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.c4d78ade0c07524ab2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fcfb0f174a187fb446bcff768f58e8a",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.c56247684be896ac03",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0fcfb0f174a187fb446bcff768f58e8a",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Coordinator II - Neurology - Alzheimer",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "9067c939063848b8137585ec3c0e01b1",
      "title": "Clinical Research Nurse - Neurology - Alzheimer",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Clinical-Research-Nurse---Neurology---Alzheimer_JR-5799-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Research Nurse - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3b4ec128ed57e6bd77",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9067c939063848b8137585ec3c0e01b1",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Nurse - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9067c939063848b8137585ec3c0e01b1:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e308f7a25e6e58a4e5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9067c939063848b8137585ec3c0e01b1",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Nurse - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9067c939063848b8137585ec3c0e01b1:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.616f3cdfacf640744e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9067c939063848b8137585ec3c0e01b1",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9067c939063848b8137585ec3c0e01b1:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5dc3bd8db66b6781c9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9067c939063848b8137585ec3c0e01b1",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Research Nurse - Neurology - Alzheimer",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9067c939063848b8137585ec3c0e01b1:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.8cfd06b34c30a714b9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9067c939063848b8137585ec3c0e01b1",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ac392a70ad68bdf79a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9067c939063848b8137585ec3c0e01b1",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Research Nurse - Neurology - Alzheimer",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ec2480eaad6904b619bee9afbb1da3ef",
      "title": "Research Coordinator II - Neurology - Alzheimer",
      "employer_name": "Houston Methodist",
      "employer_slug": "houstonmethodist",
      "location_text": "HM Texas Medical Center - Scurlock Tower",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T00:00:00.000Z",
      "apply_url": "https://houstonmethodist.wd12.myworkdayjobs.com/GTI/job/HM-Texas-Medical-Center---Scurlock-Tower/Research-Coordinator-II---Neurology---Alzheimer_JR-9030",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Coordinator II - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 8 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6e903621a96f7d329a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ec2480eaad6904b619bee9afbb1da3ef",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Coordinator II - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 8 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ec2480eaad6904b619bee9afbb1da3ef:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a4d5f18f0b88fc42b0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ec2480eaad6904b619bee9afbb1da3ef",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Coordinator II - Neurology - Alzheimer HM Texas Medical Center - Scurlock Tower posted: Posted 8 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ec2480eaad6904b619bee9afbb1da3ef:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.7bd720f77655c98f05",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ec2480eaad6904b619bee9afbb1da3ef",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ec2480eaad6904b619bee9afbb1da3ef:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.eb5bc34e902653a4d0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ec2480eaad6904b619bee9afbb1da3ef",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Coordinator II - Neurology - Alzheimer",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ec2480eaad6904b619bee9afbb1da3ef:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.23c0277d6a4c268da5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ec2480eaad6904b619bee9afbb1da3ef",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "HM Texas Medical Center - Scurlock Tower",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a54a6d764decbbec5f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ec2480eaad6904b619bee9afbb1da3ef",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Coordinator II - Neurology - Alzheimer",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "34f5b8cb5e355135f6be8ddeb31969d4",
      "title": "Research Analyst",
      "employer_name": "FactSet",
      "employer_slug": "factset",
      "location_text": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
      "country": "PH",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/Philippines-Manila-One-Le-Grand-Tower-Manila---One-Le-Grand/Research-Analyst_R32348",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 14 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3d5d7f7d3b79a32e33",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "34f5b8cb5e355135f6be8ddeb31969d4",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 14 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:34f5b8cb5e355135f6be8ddeb31969d4:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d7ad8bff79e5321540",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "34f5b8cb5e355135f6be8ddeb31969d4",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 14 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:34f5b8cb5e355135f6be8ddeb31969d4:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.23702dd16d9c24ad30",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "34f5b8cb5e355135f6be8ddeb31969d4",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:34f5b8cb5e355135f6be8ddeb31969d4:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9998b9384be4317c29",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "34f5b8cb5e355135f6be8ddeb31969d4",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Analyst",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:34f5b8cb5e355135f6be8ddeb31969d4:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.413fd930a37974d8f8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "34f5b8cb5e355135f6be8ddeb31969d4",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.64ad2faefd14332f9d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "34f5b8cb5e355135f6be8ddeb31969d4",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Analyst",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "5027e87f19bd7d4548ad84033d3434fa",
      "title": "Research Analyst",
      "employer_name": "FactSet",
      "employer_slug": "factset",
      "location_text": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
      "country": "PH",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/Philippines-Manila-One-Le-Grand-Tower-Manila---One-Le-Grand/Research-Analyst_R31960-3",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.dce979262dba93907b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5027e87f19bd7d4548ad84033d3434fa",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5027e87f19bd7d4548ad84033d3434fa:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e57cd974a6c75fa79f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5027e87f19bd7d4548ad84033d3434fa",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5027e87f19bd7d4548ad84033d3434fa:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.34386a9fbd36766002",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5027e87f19bd7d4548ad84033d3434fa",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5027e87f19bd7d4548ad84033d3434fa:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.8f040f9f795cfc4666",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5027e87f19bd7d4548ad84033d3434fa",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Analyst",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:5027e87f19bd7d4548ad84033d3434fa:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.732221789df0476b61",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5027e87f19bd7d4548ad84033d3434fa",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.af2f6466f2dee3da68",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "5027e87f19bd7d4548ad84033d3434fa",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Analyst",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "8c14b43587d40b6ab235b0fb5460e6c1",
      "title": "Research Analyst",
      "employer_name": "FactSet",
      "employer_slug": "factset",
      "location_text": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
      "country": "PH",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-09T00:00:00.000Z",
      "apply_url": "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/Philippines-Manila-One-Le-Grand-Tower-Manila---One-Le-Grand/Research-Analyst_R32461",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 3 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.98a8201805d020eca1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8c14b43587d40b6ab235b0fb5460e6c1",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 3 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8c14b43587d40b6ab235b0fb5460e6c1:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c3d802ba1d5b0dd74c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8c14b43587d40b6ab235b0fb5460e6c1",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 3 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8c14b43587d40b6ab235b0fb5460e6c1:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.e96c42ddb67bd4e5ce",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8c14b43587d40b6ab235b0fb5460e6c1",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8c14b43587d40b6ab235b0fb5460e6c1:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.347f9f2d066d390d9a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8c14b43587d40b6ab235b0fb5460e6c1",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Analyst",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:8c14b43587d40b6ab235b0fb5460e6c1:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.2becbc49b31f009f80",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8c14b43587d40b6ab235b0fb5460e6c1",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5d9f2c067ed4460b37",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "8c14b43587d40b6ab235b0fb5460e6c1",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Analyst",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ffb859d3291bc64bfe795e0dcb7991b0",
      "title": "Research Analyst - Benchmarks",
      "employer_name": "FactSet",
      "employer_slug": "factset",
      "location_text": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
      "country": "PH",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/Philippines-Manila-One-Le-Grand-Tower-Manila---One-Le-Grand/Research-Analyst---Benchmarks_R30236",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Analyst - Benchmarks Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.142e241cbc6fe460c0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ffb859d3291bc64bfe795e0dcb7991b0",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst - Benchmarks Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ffb859d3291bc64bfe795e0dcb7991b0:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.89751cea50d87c32c6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ffb859d3291bc64bfe795e0dcb7991b0",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst - Benchmarks Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ffb859d3291bc64bfe795e0dcb7991b0:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.b8b71fca2a28db02e3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ffb859d3291bc64bfe795e0dcb7991b0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ffb859d3291bc64bfe795e0dcb7991b0:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2a4ed78f29104eedae",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ffb859d3291bc64bfe795e0dcb7991b0",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Analyst - Benchmarks",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:ffb859d3291bc64bfe795e0dcb7991b0:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.b2b5a6b4a041509d4e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ffb859d3291bc64bfe795e0dcb7991b0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.bde702038b7a241964",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "ffb859d3291bc64bfe795e0dcb7991b0",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Analyst - Benchmarks",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0df9ee65fc04878afc58188c52a69882",
      "title": "Research Analyst - Corporate Transactions",
      "employer_name": "FactSet",
      "employer_slug": "factset",
      "location_text": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
      "country": "PH",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/Philippines-Manila-One-Le-Grand-Tower-Manila---One-Le-Grand/Research-Analyst---Corporate-Transactions_R32186",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Analyst - Corporate Transactions Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.310c57dac9ca95cfd3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0df9ee65fc04878afc58188c52a69882",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst - Corporate Transactions Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0df9ee65fc04878afc58188c52a69882:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f47a9d026afb681f29",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0df9ee65fc04878afc58188c52a69882",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst - Corporate Transactions Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0df9ee65fc04878afc58188c52a69882:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.7373badb7eb1dfceac",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0df9ee65fc04878afc58188c52a69882",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0df9ee65fc04878afc58188c52a69882:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ce0058ae83d067678c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0df9ee65fc04878afc58188c52a69882",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Analyst - Corporate Transactions",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:0df9ee65fc04878afc58188c52a69882:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.0dd74661215c461409",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0df9ee65fc04878afc58188c52a69882",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a8265d40ac03d25b29",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "0df9ee65fc04878afc58188c52a69882",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Analyst - Corporate Transactions",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e5709ca2d48eb6d3b765a7cc7c86ccf0",
      "title": "Research Analyst - Estimates Collection",
      "employer_name": "FactSet",
      "employer_slug": "factset",
      "location_text": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
      "country": "PH",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/Philippines-Manila-One-Le-Grand-Tower-Manila---One-Le-Grand/Research-Analyst---Estimates-Collection_R29306",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Research Analyst - Estimates Collection Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5098a202a2bcbb9262",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e5709ca2d48eb6d3b765a7cc7c86ccf0",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst - Estimates Collection Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e5709ca2d48eb6d3b765a7cc7c86ccf0:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6bb77a69c0bde3f195",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e5709ca2d48eb6d3b765a7cc7c86ccf0",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Research Analyst - Estimates Collection Philippines, Manila, One Le Grand Tower (Manila - One Le Grand) posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e5709ca2d48eb6d3b765a7cc7c86ccf0:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.0afc3b0a78215ac0dc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e5709ca2d48eb6d3b765a7cc7c86ccf0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e5709ca2d48eb6d3b765a7cc7c86ccf0:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3249ce4025a7f518ed",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e5709ca2d48eb6d3b765a7cc7c86ccf0",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Research Analyst - Estimates Collection",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e5709ca2d48eb6d3b765a7cc7c86ccf0:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.63ffde00b6dba68519",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e5709ca2d48eb6d3b765a7cc7c86ccf0",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Philippines, Manila, One Le Grand Tower (Manila - One Le Grand)",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.6d13d771b656027411",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e5709ca2d48eb6d3b765a7cc7c86ccf0",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Research Analyst - Estimates Collection",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "516c1849cd931d87fca38655265db1d3",
      "title": "Spécialiste en Fiabilité, données de référence / Reliability Specialist, Reference Data",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-27T15:40:17.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7746041",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Spécialiste en Fiabilité, données de référence / Reliability Specialist, Reference Data Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.104bf36242fef490ad",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Spécialiste en Fiabilité, données de référence / Reliability Specialist, Reference Data Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:516c1849cd931d87fca38655265db1d3:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.23d8a57aaf608a41f3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Spécialiste en Fiabilité, données de référence / Reliability Specialist, Reference Data Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:516c1849cd931d87fca38655265db1d3:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7c5ade2525f1635c71",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Spécialiste en Fiabilité, données de référence / Reliability Specialist, Reference Data Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:516c1849cd931d87fca38655265db1d3:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.218e3856433c7b8f66",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:516c1849cd931d87fca38655265db1d3:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.44c130120eaa36172d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:516c1849cd931d87fca38655265db1d3:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cf57f7f242bfc6fe4e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:516c1849cd931d87fca38655265db1d3:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.17250220d228a274f3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.46066b01c5a5ab0b8a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7046b3d3e8b601c072",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "516c1849cd931d87fca38655265db1d3",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "55470446d47e7c8f9ba197ffe420ed48",
      "title": "Spécialiste en Fiabilité / Reliability Specialist",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-12-05T14:20:29.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=7429610",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Spécialiste en Fiabilité / Reliability Specialist Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à nos équipes de négociation et",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3d444caa42c1bcee9a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Spécialiste en Fiabilité / Reliability Specialist Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à nos équipes de négociation et",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:55470446d47e7c8f9ba197ffe420ed48:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c21d8c254b866083e3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Spécialiste en Fiabilité / Reliability Specialist Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à nos équipes de négociation et",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:55470446d47e7c8f9ba197ffe420ed48:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d2a3ed8a3d722c4d05",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Spécialiste en Fiabilité / Reliability Specialist Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à nos équipes de négociation et",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:55470446d47e7c8f9ba197ffe420ed48:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.679e8f76a9aa06211f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:55470446d47e7c8f9ba197ffe420ed48:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c7f7734ef6f58e7579",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:55470446d47e7c8f9ba197ffe420ed48:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ea3cdb83999798eeb6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:55470446d47e7c8f9ba197ffe420ed48:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.58e333bc83b008739e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5cd497b36f1e184dfd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9e5e36ffeaef137943",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "55470446d47e7c8f9ba197ffe420ed48",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e6d9e664839317a40a9e15bdf4deb615",
      "title": "Stagiaire en développement de logiciels (été 2026) / Software Developer Intern (Summer 2026)",
      "employer_name": "Tower Research Capital",
      "employer_slug": "tower-research-capital",
      "location_text": "Montreal",
      "country": "CA",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-02-21T20:36:35.000Z",
      "apply_url": "https://www.tower-research.com/open-positions/?gh_jid=6653745",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Stagiaire en développement de logiciels (été 2026) / Software Developer Intern (Summer 2026) Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5504b1f0f66b38a49d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Stagiaire en développement de logiciels (été 2026) / Software Developer Intern (Summer 2026) Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e6d9e664839317a40a9e15bdf4deb615:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.cff14e6bdb0ac06e23",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Stagiaire en développement de logiciels (été 2026) / Software Developer Intern (Summer 2026) Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e6d9e664839317a40a9e15bdf4deb615:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f5af95db8b962b6d2c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Stagiaire en développement de logiciels (été 2026) / Software Developer Intern (Summer 2026) Montreal Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d'expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d'ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d'échelle qui proviennent d'une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l'accélération matérielle et de l'apprentissage automatique. Notre investissement continu dans les meilleurs talents d'ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d'évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l'accès au marché, les données, le calcul et l'infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e6d9e664839317a40a9e15bdf4deb615:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2e92aac22964b1febd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e6d9e664839317a40a9e15bdf4deb615:employer:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d491d1a7f3cb628d91",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e6d9e664839317a40a9e15bdf4deb615:employer:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f3d4f6b1c3abfe00c6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e6d9e664839317a40a9e15bdf4deb615:employer:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0d20a5caa8f223b065",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Employer: \"capital\"",
          "tooltip": "Employer contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.68f7ee0576e997bf2c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Employer: \"tower\"",
          "tooltip": "Employer contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c3a89891cc3c3b617c",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e6d9e664839317a40a9e15bdf4deb615",
          "signal_type": "query_match",
          "display_text": "Employer: \"research\"",
          "tooltip": "Employer contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Tower Research Capital",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4e64f417a642428ec74732063e501969",
      "title": "Sr Operations Research Analyst",
      "employer_name": "Target Corporation",
      "employer_slug": "target",
      "location_text": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://target.wd5.myworkdayjobs.com/targetcareers/job/Tower-02-Manyata-Embassy-Business-Park-Racenahali--Nagawara-Villages-Outer-Ring-Rd-Bangalore-540065/Sr-Operations-Research-Analyst_R0000433692",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr Operations Research Analyst Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Retail",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ad23d1f9255b55586b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4e64f417a642428ec74732063e501969",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr Operations Research Analyst Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4e64f417a642428ec74732063e501969:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c548521854b29c51a8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4e64f417a642428ec74732063e501969",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Sr Operations Research Analyst Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4e64f417a642428ec74732063e501969:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.f25e6688c269114dd2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4e64f417a642428ec74732063e501969",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4e64f417a642428ec74732063e501969:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.fb67f79e1e1ff61fa9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4e64f417a642428ec74732063e501969",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Sr Operations Research Analyst",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:4e64f417a642428ec74732063e501969:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.0ef3c056fdc3fc70e7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4e64f417a642428ec74732063e501969",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a889ba30488b4020f0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4e64f417a642428ec74732063e501969",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Sr Operations Research Analyst",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.a0f9cea7782e20f772",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "4e64f417a642428ec74732063e501969",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "6cf629350ad44973809d6057978b7b44",
      "title": "Lead Operations Research Scientist",
      "employer_name": "Target Corporation",
      "employer_slug": "target",
      "location_text": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-13T00:00:00.000Z",
      "apply_url": "https://target.wd5.myworkdayjobs.com/targetcareers/job/Tower-02-Manyata-Embassy-Business-Park-Racenahali--Nagawara-Villages-Outer-Ring-Rd-Bangalore-540065/Lead-Operations-Research-Scientist_R0000433542",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead Operations Research Scientist Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Retail",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.af0c3d12a03d145265",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6cf629350ad44973809d6057978b7b44",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead Operations Research Scientist Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30 Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6cf629350ad44973809d6057978b7b44:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f05b50f188a72e95c3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6cf629350ad44973809d6057978b7b44",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead Operations Research Scientist Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6cf629350ad44973809d6057978b7b44:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.5f8963f313a27dc043",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6cf629350ad44973809d6057978b7b44",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6cf629350ad44973809d6057978b7b44:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9b53ea09d65db72899",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6cf629350ad44973809d6057978b7b44",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead Operations Research Scientist",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:6cf629350ad44973809d6057978b7b44:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.79188fae1cd01331ad",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6cf629350ad44973809d6057978b7b44",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.ff8b60ffdc416193c4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6cf629350ad44973809d6057978b7b44",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead Operations Research Scientist",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.4d1e23ea2de993ffd4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "6cf629350ad44973809d6057978b7b44",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
      "title": "Lead Operations Research Scientist",
      "employer_name": "Target Corporation",
      "employer_slug": "target",
      "location_text": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://target.wd5.myworkdayjobs.com/targetcareers/job/Tower-02-Manyata-Embassy-Business-Park-Racenahali--Nagawara-Villages-Outer-Ring-Rd-Bangalore-540065/Lead-Operations-Research-Scientist_R0000437531",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead Operations Research Scientist Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Retail",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.35dd25fc5378619c94",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
          "signal_type": "query_match",
          "display_text": "Description: \"tower\"",
          "tooltip": "Description matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead Operations Research Scientist Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30+ Days Ago",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:815ec96bf6fa50ccf0ae7c9443e8cb8a:description:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.de24c2487d237bb56e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead Operations Research Scientist Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:815ec96bf6fa50ccf0ae7c9443e8cb8a:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.760443a7e5644044a5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location matched \"tower\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
          "matched_input": "tower",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:815ec96bf6fa50ccf0ae7c9443e8cb8a:location:tower",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b9a59ee5e33e3c7fb3",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Lead Operations Research Scientist",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:815ec96bf6fa50ccf0ae7c9443e8cb8a:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.aeb67b566307d51bdc",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
          "signal_type": "query_match",
          "display_text": "Location: \"tower\"",
          "tooltip": "Location contains \"tower\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065",
          "matched_input": "tower",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b5208575187eb5dd09",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Lead Operations Research Scientist",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.c022e85abeb0ffb7bd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "815ec96bf6fa50ccf0ae7c9443e8cb8a",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "a58c7ef1284fbebb1cee0e989fd418af",
      "title": "Director – Capital Projects, Research, Planning & Design",
      "employer_name": "Stanford Health Care",
      "employer_slug": "stanford-health-care",
      "location_text": "REDWOOD CITY, California, United States of America",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-08T00:00:00.000Z",
      "apply_url": "https://stanfordmedicine.wd115.myworkdayjobs.com/SHC_External_Career_Site/job/550-Broadway---REDWOOD-CITY/Director---Capital-Projects--Research--Planning---Design_R2551231/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director – Capital Projects, Research, Planning & Design REDWOOD CITY, California, United States of America Join our team as the Cancer Center Director for Capital Projects, Research, Design & Planning, where you'll lead groundbreaking initiatives that shape the future of cancer research and treatment. This is your chance to work alongside world-class clinicians and scientists, driving excellence in cancer care.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.20366aab7d5e45e4a6",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a58c7ef1284fbebb1cee0e989fd418af",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director – Capital Projects, Research, Planning & Design REDWOOD CITY, California, United States of America Join our team as the Cancer Center Director for Capital Projects, Research, Design & Planning, where you'll lead groundbreaking initiatives that shape the future of cancer research and treatment. This is your chance to work alongside world-class clinicians and scientists, driving excellence in cancer care.",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a58c7ef1284fbebb1cee0e989fd418af:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e764d99f7c0acf5d37",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a58c7ef1284fbebb1cee0e989fd418af",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director – Capital Projects, Research, Planning & Design REDWOOD CITY, California, United States of America Join our team as the Cancer Center Director for Capital Projects, Research, Design & Planning, where you'll lead groundbreaking initiatives that shape the future of cancer research and treatment. This is your chance to work alongside world-class clinicians and scientists, driving excellence in cancer care.",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a58c7ef1284fbebb1cee0e989fd418af:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.105ec15ef62ade345b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a58c7ef1284fbebb1cee0e989fd418af",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Director – Capital Projects, Research, Planning & Design",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a58c7ef1284fbebb1cee0e989fd418af:title:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.a66ae83d2d0230ddc4",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a58c7ef1284fbebb1cee0e989fd418af",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Director – Capital Projects, Research, Planning & Design",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a58c7ef1284fbebb1cee0e989fd418af:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.241b3a8ad6e9628023",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a58c7ef1284fbebb1cee0e989fd418af",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Director – Capital Projects, Research, Planning & Design",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.b42102dff34c565f6b",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a58c7ef1284fbebb1cee0e989fd418af",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Director – Capital Projects, Research, Planning & Design",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e8dbeed70106461ce63896e92dcf9af2",
      "title": "Clinical Research Director",
      "employer_name": "Merck & Co., Inc.",
      "employer_slug": "msd",
      "location_text": "PHL - National Capital Region - Makati",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://msd.wd5.myworkdayjobs.com/SearchJobs/job/PHL---National-Capital-Region---Makati/Clinical-Research-Director_R402410-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Research Director PHL - National Capital Region - Makati posted: Posted Today",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.57877d54436ebffdfa",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e8dbeed70106461ce63896e92dcf9af2",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Director PHL - National Capital Region - Makati posted: Posted Today",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e8dbeed70106461ce63896e92dcf9af2:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.808885e0c194aa8908",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e8dbeed70106461ce63896e92dcf9af2",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Director PHL - National Capital Region - Makati posted: Posted Today",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e8dbeed70106461ce63896e92dcf9af2:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.a8606015218773081e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e8dbeed70106461ce63896e92dcf9af2",
          "signal_type": "query_match",
          "display_text": "Location: \"capital\"",
          "tooltip": "Location matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "PHL - National Capital Region - Makati",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e8dbeed70106461ce63896e92dcf9af2:location:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9f50d070fe4d1a6dde",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e8dbeed70106461ce63896e92dcf9af2",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Research Director",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:e8dbeed70106461ce63896e92dcf9af2:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.8c86d0b8625e44cff0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e8dbeed70106461ce63896e92dcf9af2",
          "signal_type": "query_match",
          "display_text": "Location: \"capital\"",
          "tooltip": "Location contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "PHL - National Capital Region - Makati",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.937baf4ad22eaf02a0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "e8dbeed70106461ce63896e92dcf9af2",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Research Director",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d258fd2675b04efb5972a71909169b46",
      "title": "Clinical Research Manager",
      "employer_name": "Merck & Co., Inc.",
      "employer_slug": "msd",
      "location_text": "PHL - National Capital Region - Makati",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://msd.wd5.myworkdayjobs.com/SearchJobs/job/PHL---National-Capital-Region---Makati/Clinical-Research-Manager_R395610",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Clinical Research Manager PHL - National Capital Region - Makati posted: Posted 30+ Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.adc6d51727c3965412",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d258fd2675b04efb5972a71909169b46",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Manager PHL - National Capital Region - Makati posted: Posted 30+ Days Ago",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d258fd2675b04efb5972a71909169b46:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fe9e754aede90c8c99",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d258fd2675b04efb5972a71909169b46",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Clinical Research Manager PHL - National Capital Region - Makati posted: Posted 30+ Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d258fd2675b04efb5972a71909169b46:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.39a8e887caefd499b5",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d258fd2675b04efb5972a71909169b46",
          "signal_type": "query_match",
          "display_text": "Location: \"capital\"",
          "tooltip": "Location matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "PHL - National Capital Region - Makati",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d258fd2675b04efb5972a71909169b46:location:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.3feaf77418a27acb1a",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d258fd2675b04efb5972a71909169b46",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Clinical Research Manager",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:d258fd2675b04efb5972a71909169b46:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.4962246ee3eb161135",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d258fd2675b04efb5972a71909169b46",
          "signal_type": "query_match",
          "display_text": "Location: \"capital\"",
          "tooltip": "Location contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "PHL - National Capital Region - Makati",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.0d8d718313ed69c2af",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "d258fd2675b04efb5972a71909169b46",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Clinical Research Manager",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "c846ec387f4100a7168424ab566118dc",
      "title": "Capital Markets Research Analyst",
      "employer_name": "U.S. Bancorp",
      "employer_slug": "u-s-bancorp",
      "location_text": "Minneapolis, MN, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-28T00:00:00.000Z",
      "apply_url": "https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Minneapolis-MN/Capital-Markets-Research-Analyst_2026-0014378/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Capital Markets Research Analyst Minneapolis, MN, United States Day-to-day activities include but are not limited to data gathering, model maintenance and development, and an awareness of capital market trends with the purpose of identifying and clearly communicat...",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a764ee90769a199ee2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c846ec387f4100a7168424ab566118dc",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Capital Markets Research Analyst Minneapolis, MN, United States Day-to-day activities include but are not limited to data gathering, model maintenance and development, and an awareness of capital market trends with the purpose of identifying and clearly communicat...",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c846ec387f4100a7168424ab566118dc:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f4728e5488c20a92e2",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c846ec387f4100a7168424ab566118dc",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Capital Markets Research Analyst Minneapolis, MN, United States Day-to-day activities include but are not limited to data gathering, model maintenance and development, and an awareness of capital market trends with the purpose of identifying and clearly communicat...",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c846ec387f4100a7168424ab566118dc:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.035a2658a8582c0370",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c846ec387f4100a7168424ab566118dc",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Capital Markets Research Analyst",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c846ec387f4100a7168424ab566118dc:title:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f472e088853e18db48",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c846ec387f4100a7168424ab566118dc",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Capital Markets Research Analyst",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:c846ec387f4100a7168424ab566118dc:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.006479d8d2570e606d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c846ec387f4100a7168424ab566118dc",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Capital Markets Research Analyst",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.383694e5315712069d",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c846ec387f4100a7168424ab566118dc",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Capital Markets Research Analyst",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.6825a15e2d60d5295e",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "c846ec387f4100a7168424ab566118dc",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "a906f4f904416d32a0a94af2e4b20975",
      "title": "Security Research Internship",
      "employer_name": "CertiK",
      "employer_slug": "certik",
      "location_text": "New York, NY / Seattle, WA / San Francisco Bay Area, CA / Remote",
      "country": "US",
      "employment_type": "internship",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2022-08-24T19:41:10.951Z",
      "apply_url": "https://jobs.lever.co/certik/148afcf8-106b-42fa-a516-6bb8f1184e33",
      "apply_url_verified": false,
      "ats": "lever",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Security Research Internship New York, NY / Seattle, WA / San Francisco Bay Area, CA / Remote About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research interns to join a top-notch security research team. We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detections. Multiple research tasks are ready to be explored. About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 51,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.90cbc9f77f5727e764",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a906f4f904416d32a0a94af2e4b20975",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Security Research Internship New York, NY / Seattle, WA / San Francisco Bay Area, CA / Remote About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research interns to join a top-notch security research team. We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detections. Multiple research tasks are ready to be explored. About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a906f4f904416d32a0a94af2e4b20975:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f3395c8aa8486c311f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a906f4f904416d32a0a94af2e4b20975",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Security Research Internship New York, NY / Seattle, WA / San Francisco Bay Area, CA / Remote About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research interns to join a top-notch security research team. We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detections. Multiple research tasks are ready to be explored. About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a906f4f904416d32a0a94af2e4b20975:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.9352af3fc7f76082d7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a906f4f904416d32a0a94af2e4b20975",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Security Research Internship",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:a906f4f904416d32a0a94af2e4b20975:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4ee68da00983d8b4c0",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a906f4f904416d32a0a94af2e4b20975",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Security Research Internship New York, NY / Seattle, WA / San Francisco Bay Area, CA / Remote About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research interns to join a top-notch security research team. We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detections. Multiple research tasks are ready to be explored. About CertiK One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 3,200 Enterprise clients, secured over $310 billion worth of digital assets, and has detected over 60,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz. Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors. About the role We are seeking security research",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.62b8c78a3431e54120",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "a906f4f904416d32a0a94af2e4b20975",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Security Research Internship",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "9109b9fec92901688dc2477a10f4d7be",
      "title": "Senior Analyst, Multi-housing Capital Markets Research – Central Region",
      "employer_name": "Jones Lang LaSalle",
      "employer_slug": "jll",
      "location_text": "Dallas, TX",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://jll.wd1.myworkdayjobs.com/jllcareers/job/Dallas-TX/Senior-Analyst--Multi-housing-Capital-Markets-Research---Central-Region_REQ513253",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Analyst, Multi-housing Capital Markets Research – Central Region Dallas, TX posted: Posted Yesterday",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Real Estate",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9fbd38d9c235246e54",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9109b9fec92901688dc2477a10f4d7be",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Analyst, Multi-housing Capital Markets Research – Central Region Dallas, TX posted: Posted Yesterday",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9109b9fec92901688dc2477a10f4d7be:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.c369e9f3b4719c6ae8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9109b9fec92901688dc2477a10f4d7be",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Analyst, Multi-housing Capital Markets Research – Central Region Dallas, TX posted: Posted Yesterday",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9109b9fec92901688dc2477a10f4d7be:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.23bb4d04ead67b1bd8",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9109b9fec92901688dc2477a10f4d7be",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Analyst, Multi-housing Capital Markets Research – Central Region",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9109b9fec92901688dc2477a10f4d7be:title:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.435af43a8137c4c0f9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9109b9fec92901688dc2477a10f4d7be",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Senior Analyst, Multi-housing Capital Markets Research – Central Region",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:9109b9fec92901688dc2477a10f4d7be:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.2acc714599f6c8b5d7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9109b9fec92901688dc2477a10f4d7be",
          "signal_type": "query_match",
          "display_text": "Title: \"capital\"",
          "tooltip": "Title contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Analyst, Multi-housing Capital Markets Research – Central Region",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.793e2cae5ccf48a278",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "9109b9fec92901688dc2477a10f4d7be",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Senior Analyst, Multi-housing Capital Markets Research – Central Region",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "fe96c72deb914ec413dd4c457c502c24",
      "title": "Intern - Clinical Research Associate, Multi-Sponsor, Belgium",
      "employer_name": "IQVIA",
      "employer_slug": "iqvia",
      "location_text": "Brussels, Brussels-Capital Region, Belgium",
      "country": "BE",
      "employment_type": "internship",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-28T00:00:00.000Z",
      "apply_url": "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Brussels-Brussels-Capital-Region-Belgium/Intern---Clinical-Research-Associate--Multi-Sponsor--Belgium_R1547621",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Intern - Clinical Research Associate, Multi-Sponsor, Belgium Brussels, Brussels-Capital Region, Belgium posted: Posted 15 Days Ago",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "entry",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "data",
      "employer_industry": "Healthcare",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3cef8e92e0fd4bd3fd",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "fe96c72deb914ec413dd4c457c502c24",
          "signal_type": "query_match",
          "display_text": "Description: \"capital\"",
          "tooltip": "Description matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intern - Clinical Research Associate, Multi-Sponsor, Belgium Brussels, Brussels-Capital Region, Belgium posted: Posted 15 Days Ago",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:fe96c72deb914ec413dd4c457c502c24:description:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8292a7c34aa246f636",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "fe96c72deb914ec413dd4c457c502c24",
          "signal_type": "query_match",
          "display_text": "Description: \"research\"",
          "tooltip": "Description matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Intern - Clinical Research Associate, Multi-Sponsor, Belgium Brussels, Brussels-Capital Region, Belgium posted: Posted 15 Days Ago",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:fe96c72deb914ec413dd4c457c502c24:description:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.4fcdfc623147b244b9",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "fe96c72deb914ec413dd4c457c502c24",
          "signal_type": "query_match",
          "display_text": "Location: \"capital\"",
          "tooltip": "Location matched \"capital\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "location_text",
          "source_value": "Brussels, Brussels-Capital Region, Belgium",
          "matched_input": "capital",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:fe96c72deb914ec413dd4c457c502c24:location:capital",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.5ca31595a18b4f7e9f",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "fe96c72deb914ec413dd4c457c502c24",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title matched \"research\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Intern - Clinical Research Associate, Multi-Sponsor, Belgium",
          "matched_input": "research",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_444fe27e24dc9f600248:fe96c72deb914ec413dd4c457c502c24:title:research",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.location_text.c94dc60a5f92311bd1",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "fe96c72deb914ec413dd4c457c502c24",
          "signal_type": "query_match",
          "display_text": "Location: \"capital\"",
          "tooltip": "Location contains \"capital\" from your search.",
          "source_binding": "token_match",
          "source_field": "location_text",
          "source_value": "Brussels, Brussels-Capital Region, Belgium",
          "matched_input": "capital",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.86a1af78241d943cc7",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "fe96c72deb914ec413dd4c457c502c24",
          "signal_type": "query_match",
          "display_text": "Title: \"research\"",
          "tooltip": "Title contains \"research\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Intern - Clinical Research Associate, Multi-Sponsor, Belgium",
          "matched_input": "research",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.a02e2c387a3e4c65ff",
          "query_id": "gq_444fe27e24dc9f600248",
          "job_id": "fe96c72deb914ec413dd4c457c502c24",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    }
  ],
  "total": 100,
  "page": 1,
  "per_page": 100,
  "applied_filters": {
    "q": "Tower Research Capital"
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "default",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": true,
    "query_terms": [
      "tower",
      "research",
      "capital"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}