{ "results": [ { "id": "f156ffd934f5976d97b2eafe8f1f9bce", "title": "AVP-Analyst (Digital Finance & Artificial Intelligence Risk Management)", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12881&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AVP-Analyst (Digital Finance & Artificial Intelligence Risk Management) Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 9+ years of experience, including 5+ years in technology governance, risk, and control, covering self assessments, control evaluation, and regulatory compliance within financial services, with a strong focus on AI and digital finance Broad technology experience across digital finance, AI, data, and large scale systems, operating in highly regulated, global environments with significant complexity Hands on experience with GRC platforms (e.g., OpenP", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 9, "years_experience_max": 13, "role_function": "finance", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.c3336a86387fd19e7e", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f156ffd934f5976d97b2eafe8f1f9bce", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AVP-Analyst (Digital Finance & Artificial Intelligence Risk Management) Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 9+ years of experience, including 5+ years in technology governance, risk, and control, covering self assessments, control evaluation, and regulatory compliance within financial services, with a strong focus on AI and digital finance Broad technology experience across digital finance, AI, data, and large scale systems, operating in highly regulated, global environments with significant complexity Hands on experience with GRC platforms (e.g., OpenP", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f156ffd934f5976d97b2eafe8f1f9bce:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.061d2ecfd1d69ba038", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f156ffd934f5976d97b2eafe8f1f9bce", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f156ffd934f5976d97b2eafe8f1f9bce:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.2eb9fade324781d131", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f156ffd934f5976d97b2eafe8f1f9bce", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f156ffd934f5976d97b2eafe8f1f9bce:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.4b3f1cdbfd5bfae4e2", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f156ffd934f5976d97b2eafe8f1f9bce", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.b1e32bf98f2dfac395", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f156ffd934f5976d97b2eafe8f1f9bce", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "finance", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f156ffd934f5976d97b2eafe8f1f9bce:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12881&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12881&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12881&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "7acc5536bb826e19ee63256c199d78a6", "title": "Asst Dir-Data Operations (Team Lead)", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13314&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Asst Dir-Data Operations (Team Lead) Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3-6 years of experience in a team lead or management role within a technology, data, or AI-driven environment. Demonstrated ability to build, motivate, and develop high-performing teams while managing performance and providing ongoing coaching. Strong project and delivery management skills with experience managing multiple concurrent workstreams across cross-functional stakeholders. Hands-on experience with generative AI tools, prompt engineering,", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 10, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.e60b84a2e0ed1307e7", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "7acc5536bb826e19ee63256c199d78a6", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Asst Dir-Data Operations (Team Lead) Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3-6 years of experience in a team lead or management role within a technology, data, or AI-driven environment. Demonstrated ability to build, motivate, and develop high-performing teams while managing performance and providing ongoing coaching. Strong project and delivery management skills with experience managing multiple concurrent workstreams across cross-functional stakeholders. Hands-on experience with generative AI tools, prompt engineering,", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:7acc5536bb826e19ee63256c199d78a6:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.1573e8afcf184d7062", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "7acc5536bb826e19ee63256c199d78a6", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:7acc5536bb826e19ee63256c199d78a6:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.632bf545af48c181b4", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "7acc5536bb826e19ee63256c199d78a6", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:7acc5536bb826e19ee63256c199d78a6:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.7881a5a9ba1692f8a4", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "7acc5536bb826e19ee63256c199d78a6", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.b447df54542ba79939", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "7acc5536bb826e19ee63256c199d78a6", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:7acc5536bb826e19ee63256c199d78a6:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13314&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13314&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13314&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "16d3120685e6a2cab8baafa3d63fa820", "title": "AVP - Lead Software Engineer - PBI", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12987&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AVP - Lead Software Engineer - PBI Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Deep Power Platform expertise (Power Automate, Power Apps, Copilot Studio), including troubleshooting complex technical issues. Experience with custom connectors, data gateways, environment strategy, and platform-wide solution governance. Strong Power BI development and administration skills: DAX, M, semantic modeling, dataset optimization, RLS/OLS, governance. Hands-on experience with Microsoft Fabric components: o Lakehouse / OneLake o Data Engi", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.151d5f915263dbb7fd", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "16d3120685e6a2cab8baafa3d63fa820", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AVP - Lead Software Engineer - PBI Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Deep Power Platform expertise (Power Automate, Power Apps, Copilot Studio), including troubleshooting complex technical issues. Experience with custom connectors, data gateways, environment strategy, and platform-wide solution governance. Strong Power BI development and administration skills: DAX, M, semantic modeling, dataset optimization, RLS/OLS, governance. Hands-on experience with Microsoft Fabric components: o Lakehouse / OneLake o Data Engi", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:16d3120685e6a2cab8baafa3d63fa820:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.1b63ce51b25af8c9a6", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "16d3120685e6a2cab8baafa3d63fa820", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:16d3120685e6a2cab8baafa3d63fa820:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.50f259eab766af95a9", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "16d3120685e6a2cab8baafa3d63fa820", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:16d3120685e6a2cab8baafa3d63fa820:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.c91d6a89a368720b55", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "16d3120685e6a2cab8baafa3d63fa820", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.bb512c2cd5a0aa0c64", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "16d3120685e6a2cab8baafa3d63fa820", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:16d3120685e6a2cab8baafa3d63fa820:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12987&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12987&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5e3bc184c173f79d0a0bcd0c5fbea745", "title": "AVP-Compliance AI and Technology", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13787&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AVP-Compliance AI and Technology Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 6+ years of relevant experience with a background in building technology solutions, preferably supporting Compliance or other control functions Hands-on experience developing AI and GenAI-powered applications is required Proficiency in Python or R preferred; ability to write SQL scripts, ETL pipelines, and shell scripts Experience building using Power Platform (Power Apps, Power Automate, Power BI) and agentic solution implementation using Microso", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 6, "years_experience_max": 10, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.a12db289d61e74fa53", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5e3bc184c173f79d0a0bcd0c5fbea745", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AVP-Compliance AI and Technology Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 6+ years of relevant experience with a background in building technology solutions, preferably supporting Compliance or other control functions Hands-on experience developing AI and GenAI-powered applications is required Proficiency in Python or R preferred; ability to write SQL scripts, ETL pipelines, and shell scripts Experience building using Power Platform (Power Apps, Power Automate, Power BI) and agentic solution implementation using Microso", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5e3bc184c173f79d0a0bcd0c5fbea745:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.695457d386a9163a8f", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5e3bc184c173f79d0a0bcd0c5fbea745", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5e3bc184c173f79d0a0bcd0c5fbea745:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.7fc75e165c324ba53e", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5e3bc184c173f79d0a0bcd0c5fbea745", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5e3bc184c173f79d0a0bcd0c5fbea745:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.d5cd3547f07ca45d50", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5e3bc184c173f79d0a0bcd0c5fbea745", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.49be9bfc99effd5d25", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5e3bc184c173f79d0a0bcd0c5fbea745", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5e3bc184c173f79d0a0bcd0c5fbea745:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13787&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13787&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13787&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "95598a8bcdc26e81c234a768b7b5b7da", "title": "Senior Global Business Director - Japanese Strategic Banks", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Senior Global Business Director - Japanese Strategic Banks", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13779&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Global Business Director - Japanese Strategic Banks Senior Global Business Director - Japanese Strategic Banks At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Proven experience of strategic account planning, negotiation, and management of complex, global accounts Established executive-level network to originate, expand, and protect complex, multi-year banking relationships Track record across multiple business functions, including one or more of: frontline sales, account management, business and sales operations, proposition and product management Entrepreneurial spirit: thrives in ambiguity, adapts 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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "director_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "sales", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.d940e9f7b1198b0050", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "95598a8bcdc26e81c234a768b7b5b7da", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Global Business Director - Japanese Strategic Banks Senior Global Business Director - Japanese Strategic Banks At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Proven experience of strategic account planning, negotiation, and management of complex, global accounts Established executive-level network to originate, expand, and protect complex, multi-year banking relationships Track record across multiple business functions, including one or more of: frontline sales, account management, business and sales operations, proposition and product management Entrepreneurial spirit: thrives in ambiguity, adapts to", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:95598a8bcdc26e81c234a768b7b5b7da:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.2a59cf4216a2bd2e59", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "95598a8bcdc26e81c234a768b7b5b7da", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:95598a8bcdc26e81c234a768b7b5b7da:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.33db8c112ce7751461", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "95598a8bcdc26e81c234a768b7b5b7da", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:95598a8bcdc26e81c234a768b7b5b7da:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.bf3baca36ac21068dc", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "95598a8bcdc26e81c234a768b7b5b7da", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.880d7a833d51c36603", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "95598a8bcdc26e81c234a768b7b5b7da", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "sales", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:95598a8bcdc26e81c234a768b7b5b7da:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13779&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13779&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13779&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "339ba476b47bf752765eb043ca848663", "title": "Senior Software Engineer - Data Engineering", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13043&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer - Data Engineering Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience providing technical leadership within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross-functional stakeholders", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.d711f000450b01ccd2", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "339ba476b47bf752765eb043ca848663", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer - Data Engineering Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience providing technical leadership within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross-functional stakeholders", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:339ba476b47bf752765eb043ca848663:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.2b691d4840445a6db6", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "339ba476b47bf752765eb043ca848663", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:339ba476b47bf752765eb043ca848663:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.e1da61a52c3dc37757", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "339ba476b47bf752765eb043ca848663", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:339ba476b47bf752765eb043ca848663:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.064fb8979c5fd62a8a", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "339ba476b47bf752765eb043ca848663", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.2ad1f48ddbea6b176d", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "339ba476b47bf752765eb043ca848663", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:339ba476b47bf752765eb043ca848663:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13043&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13043&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "f420736be32f7db68b16ede46290bf7b", "title": "Software Engineer - AI and Azure", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13825&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer - AI and Azure Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Here is your job description reformatted exactly into the required template structure, without changing any language or content: Skills and Competencies 3 to 6 years of experience as a full stack developer which includes Typescript or Javascript and building Agentic AI features along wit strong Python programming skills Hands on experience integrating LLMs into products like Claude, OpenAI, CoPilot with practical knowledge of RAG, embeddings and vector databases Very goo", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 6, "years_experience_max": 10, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.ea03fc969bc1e55f90", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f420736be32f7db68b16ede46290bf7b", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer - AI and Azure Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Here is your job description reformatted exactly into the required template structure, without changing any language or content: Skills and Competencies 3 to 6 years of experience as a full stack developer which includes Typescript or Javascript and building Agentic AI features along wit strong Python programming skills Hands on experience integrating LLMs into products like Claude, OpenAI, CoPilot with practical knowledge of RAG, embeddings and vector databases Very goo", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f420736be32f7db68b16ede46290bf7b:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.2665209869930194f5", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f420736be32f7db68b16ede46290bf7b", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f420736be32f7db68b16ede46290bf7b:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.72fef098931e5675e9", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f420736be32f7db68b16ede46290bf7b", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f420736be32f7db68b16ede46290bf7b:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.6374651f80494b8e1b", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f420736be32f7db68b16ede46290bf7b", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.834c64f5a171b1f0c1", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f420736be32f7db68b16ede46290bf7b", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f420736be32f7db68b16ede46290bf7b:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13825&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13825&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13825&rcm_site_locale=en_US", "source_values": [ "rule:title_override" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "f44333c4558214b1381f3de939adb3f7", "title": "Data Engineer-Data Platform & Analytics", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13141&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Engineer-Data Platform & Analytics Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Five or more years of experience in data engineering, building and operating production-grade data pipelines Strong programming experience with Python, PySpark, Scala, and SQL Proven experience designing or working with configuration- or metadata-driven data pipelines Hands-on experience working within a Databricks-based data platform Solid understanding of data modeling, schema evolution, and large-scale dataset management Experience deploying an", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.0e156f4aa50ece96a0", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f44333c4558214b1381f3de939adb3f7", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Data Engineer-Data Platform & Analytics Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Five or more years of experience in data engineering, building and operating production-grade data pipelines Strong programming experience with Python, PySpark, Scala, and SQL Proven experience designing or working with configuration- or metadata-driven data pipelines Hands-on experience working within a Databricks-based data platform Solid understanding of data modeling, schema evolution, and large-scale dataset management Experience deploying an", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f44333c4558214b1381f3de939adb3f7:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.068665fc2dea669c06", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f44333c4558214b1381f3de939adb3f7", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f44333c4558214b1381f3de939adb3f7:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.ce6d2b4d0af14e96bd", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f44333c4558214b1381f3de939adb3f7", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f44333c4558214b1381f3de939adb3f7:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.39e9564cb644bc26a3", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f44333c4558214b1381f3de939adb3f7", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.25ac4613aeaaae6b7f", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f44333c4558214b1381f3de939adb3f7", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f44333c4558214b1381f3de939adb3f7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13141&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13141&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13141&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "dbcf27ed415ac08f093961c9c7f17a1d", "title": "Senior Software Engineer-SAP Integration Suite", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13000&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer-SAP Integration Suite Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 7+ years of overall software engineering or integration experience, with 4+ years of SAP Integration Suite experience and experience in MuleSoft Anypoint Platform is a plus Deep, hands-on expertise with the MuleSoft Anypoint Platform, including API-led connectivity, advanced API design, deployment automation, and platform governance Strong proficiency in Java, Java Scripting, DataWeave, and advanced object-oriented and integration design principle", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 7, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.3586e3388c3a1095ae", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "dbcf27ed415ac08f093961c9c7f17a1d", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer-SAP Integration Suite Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 7+ years of overall software engineering or integration experience, with 4+ years of SAP Integration Suite experience and experience in MuleSoft Anypoint Platform is a plus Deep, hands-on expertise with the MuleSoft Anypoint Platform, including API-led connectivity, advanced API design, deployment automation, and platform governance Strong proficiency in Java, Java Scripting, DataWeave, and advanced object-oriented and integration design principle", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:dbcf27ed415ac08f093961c9c7f17a1d:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.0e9f1166dc392cea30", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "dbcf27ed415ac08f093961c9c7f17a1d", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:dbcf27ed415ac08f093961c9c7f17a1d:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.cc71c69bc7db88e86d", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "dbcf27ed415ac08f093961c9c7f17a1d", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:dbcf27ed415ac08f093961c9c7f17a1d:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.c6aceb96db434ab142", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "dbcf27ed415ac08f093961c9c7f17a1d", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.97634bd929b45902db", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "dbcf27ed415ac08f093961c9c7f17a1d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:dbcf27ed415ac08f093961c9c7f17a1d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13000&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13000&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13000&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "48f5369d1329d43e4b572a9f7b556512", "title": "Senior Software Engineer - Full Stack and Python", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13596&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer - Full Stack and Python Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 6+ years of experience designing and building production ready backend services using Python (Django, FastAPI, or Flask) and frontend applications using React, JavaScript, HTML, and CSS Proven experience developing and operating containerised or serverless applications on AWS and/or Azure to support scalable, reliable systems; CI/CD pipeline experience is preferred to enable efficient delivery Strong proficiency with SQL and NoSQL databases and a", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 6, "years_experience_max": 10, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.94da76761f35bdbfe3", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "48f5369d1329d43e4b572a9f7b556512", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer - Full Stack and Python Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 6+ years of experience designing and building production ready backend services using Python (Django, FastAPI, or Flask) and frontend applications using React, JavaScript, HTML, and CSS Proven experience developing and operating containerised or serverless applications on AWS and/or Azure to support scalable, reliable systems; CI/CD pipeline experience is preferred to enable efficient delivery Strong proficiency with SQL and NoSQL databases and a", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:48f5369d1329d43e4b572a9f7b556512:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.1d57a9ceb177948772", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "48f5369d1329d43e4b572a9f7b556512", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:48f5369d1329d43e4b572a9f7b556512:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.d9d5c37bb6f9a54150", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "48f5369d1329d43e4b572a9f7b556512", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:48f5369d1329d43e4b572a9f7b556512:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.af5fd87573e0414c9f", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "48f5369d1329d43e4b572a9f7b556512", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.8b51ec9d7b39a0c873", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "48f5369d1329d43e4b572a9f7b556512", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:48f5369d1329d43e4b572a9f7b556512:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13596&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13596&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13596&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "f7d5a947ccd84a93e2e73f67382a8903", "title": "Software Engineer - AI", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12980&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer - AI Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in software development and support roles within the financial sector Hands-on experience building and deploying Agentic AI solutions using tools such as FastMCP and LangChain, integrated with Azure OpenAI API and other large language models; experience with retrieval-augmented generation (RAG) implementations Proficiency in Python, JavaScript, HTML, and CSS, with strong experience across both front‑end (React or Angular) an", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.1269c63a68b8f9eb2a", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f7d5a947ccd84a93e2e73f67382a8903", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer - AI Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in software development and support roles within the financial sector Hands-on experience building and deploying Agentic AI solutions using tools such as FastMCP and LangChain, integrated with Azure OpenAI API and other large language models; experience with retrieval-augmented generation (RAG) implementations Proficiency in Python, JavaScript, HTML, and CSS, with strong experience across both front‑end (React or Angular) an", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f7d5a947ccd84a93e2e73f67382a8903:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.800984267eb8e44072", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f7d5a947ccd84a93e2e73f67382a8903", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f7d5a947ccd84a93e2e73f67382a8903:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.9445791e73baa12578", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f7d5a947ccd84a93e2e73f67382a8903", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f7d5a947ccd84a93e2e73f67382a8903:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.f6618355c24473562b", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f7d5a947ccd84a93e2e73f67382a8903", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.4de14420f356bac858", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "f7d5a947ccd84a93e2e73f67382a8903", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:f7d5a947ccd84a93e2e73f67382a8903:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12980&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12980&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5f56e78a4f1150007e374c36411d2406", "title": "Staff Software Engineer - Database Engineering", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13669&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Engineer - Database Engineering Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Must have 8+ years of professional Database Engineering experience, with a proven track record of leading technical projects and guiding senior engineers. Expert-level SQL skills including advanced T-SQL or PL/SQL, with strong production programming experience in Python OR Java OR Scala. Deep practical experience designing, tuning, and operating relational databases such as PostgreSQL and SQL Server alongside cloud data warehouses including Snowfl", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.cc235693df62c2044d", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5f56e78a4f1150007e374c36411d2406", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Engineer - Database Engineering Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Must have 8+ years of professional Database Engineering experience, with a proven track record of leading technical projects and guiding senior engineers. Expert-level SQL skills including advanced T-SQL or PL/SQL, with strong production programming experience in Python OR Java OR Scala. Deep practical experience designing, tuning, and operating relational databases such as PostgreSQL and SQL Server alongside cloud data warehouses including Snowfl", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5f56e78a4f1150007e374c36411d2406:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.38ef591cbf83b37e88", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5f56e78a4f1150007e374c36411d2406", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5f56e78a4f1150007e374c36411d2406:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.4708bf83feb1fbdf19", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5f56e78a4f1150007e374c36411d2406", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5f56e78a4f1150007e374c36411d2406:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.8d24316bcd0fb325af", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5f56e78a4f1150007e374c36411d2406", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.5b68fbf79607d31887", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5f56e78a4f1150007e374c36411d2406", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5f56e78a4f1150007e374c36411d2406:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13669&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13669&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13669&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "b5c2f3668a5ba0d9c9637549ed2f5121", "title": "Software Engineer .NET Backend Developer", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13662&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer .NET Backend Developer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3-5 years of software engineering experience preferably with product-based companies, in a backend or systems-oriented role Proficiency in C#/.NET for backend services and APIs Strong understanding of backend system design and object-oriented programming principles Experience with cloud-native development, with AWS preferred Hands-on experience with Docker and Kubernetes Experience designing and consuming RESTful APIs and microservices Familiarity", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.3b34169ea7f4213d14", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "b5c2f3668a5ba0d9c9637549ed2f5121", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer .NET Backend Developer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3-5 years of software engineering experience preferably with product-based companies, in a backend or systems-oriented role Proficiency in C#/.NET for backend services and APIs Strong understanding of backend system design and object-oriented programming principles Experience with cloud-native development, with AWS preferred Hands-on experience with Docker and Kubernetes Experience designing and consuming RESTful APIs and microservices Familiarity", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:b5c2f3668a5ba0d9c9637549ed2f5121:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.6307a51c59802021d0", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "b5c2f3668a5ba0d9c9637549ed2f5121", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:b5c2f3668a5ba0d9c9637549ed2f5121:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.d997c7bd259fc3fea1", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "b5c2f3668a5ba0d9c9637549ed2f5121", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:b5c2f3668a5ba0d9c9637549ed2f5121:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.54794763d1de104bcc", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "b5c2f3668a5ba0d9c9637549ed2f5121", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.ff417aba3782cfa887", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "b5c2f3668a5ba0d9c9637549ed2f5121", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:b5c2f3668a5ba0d9c9637549ed2f5121:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13662&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13662&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13662&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "915e71f2b4825f652f6fb3c8bf92a233", "title": "Software Engineer - Cloud Data Engineer", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12978&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer - Cloud Data Engineer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in software development and support role Minimum of 2 years of professional experience in Microsoft Fabric or AWS or Databricks environment Proven software development experience using Python, SQL, and PySpark Strong familiarity with systems automation principles with hands-on experience with scripting technologies (Python, VBA, Perl, PowerShell, VBS, etc.) Demonstrated proficiency in artificial intelligence concepts, with h", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.d93424dae7fc7674c1", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "915e71f2b4825f652f6fb3c8bf92a233", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer - Cloud Data Engineer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in software development and support role Minimum of 2 years of professional experience in Microsoft Fabric or AWS or Databricks environment Proven software development experience using Python, SQL, and PySpark Strong familiarity with systems automation principles with hands-on experience with scripting technologies (Python, VBA, Perl, PowerShell, VBS, etc.) Demonstrated proficiency in artificial intelligence concepts, with h", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:915e71f2b4825f652f6fb3c8bf92a233:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.116c5b91767ffe5ca5", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "915e71f2b4825f652f6fb3c8bf92a233", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:915e71f2b4825f652f6fb3c8bf92a233:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.ddd8c6ee41cbeea3a3", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "915e71f2b4825f652f6fb3c8bf92a233", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:915e71f2b4825f652f6fb3c8bf92a233:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.2e4e9911258a8924a0", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "915e71f2b4825f652f6fb3c8bf92a233", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.2819448903ac146d12", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "915e71f2b4825f652f6fb3c8bf92a233", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:915e71f2b4825f652f6fb3c8bf92a233:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12978&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12978&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "55f6f4dca65f898bd786d037623c3ac1", "title": "Asst Dir-QA Automation Engineer", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12539&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Asst Dir-QA Automation Engineer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies: Technical Proficiency Required: Strong technical skills in relevant programming languages, frameworks, and testing tools including Cypress, TypeScript, Postman, Jest, and Jira. Must effectively apply these skills to design, develop, test, and maintain automated testing solutions that ensure software quality and reliability Test Automation Experience Required: Demonstrated experience in writing and executing complex test cases and test scripts, wi", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.64c5c9aa1eaaeee0a4", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "55f6f4dca65f898bd786d037623c3ac1", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Asst Dir-QA Automation Engineer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies: Technical Proficiency Required: Strong technical skills in relevant programming languages, frameworks, and testing tools including Cypress, TypeScript, Postman, Jest, and Jira. Must effectively apply these skills to design, develop, test, and maintain automated testing solutions that ensure software quality and reliability Test Automation Experience Required: Demonstrated experience in writing and executing complex test cases and test scripts, wi", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:55f6f4dca65f898bd786d037623c3ac1:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.343f1877ace479ef4b", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "55f6f4dca65f898bd786d037623c3ac1", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:55f6f4dca65f898bd786d037623c3ac1:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.a1b1c0cde295d1c365", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "55f6f4dca65f898bd786d037623c3ac1", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:55f6f4dca65f898bd786d037623c3ac1:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.a2b6bac63935ef9c65", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "55f6f4dca65f898bd786d037623c3ac1", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12539&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12539&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "656042d2b3cd76f9eb12985ee6c1578a", "title": "Catastrophe Modeller - Tropical Cyclones", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13509&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Catastrophe Modeller - Tropical Cyclones Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong expertise in statistical modelling, probability, and numerical methods, required to develop robust catastrophe risk models Proficiency in programming languages such as Python, R, or Julia to build and maintain scalable modelling frameworks Experience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferred Ability to collaborate effectively in multidisciplinary teams, including use of version control sy", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.39665f7264df85f2b5", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "656042d2b3cd76f9eb12985ee6c1578a", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Catastrophe Modeller - Tropical Cyclones Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong expertise in statistical modelling, probability, and numerical methods, required to develop robust catastrophe risk models Proficiency in programming languages such as Python, R, or Julia to build and maintain scalable modelling frameworks Experience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferred Ability to collaborate effectively in multidisciplinary teams, including use of version control sy", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:656042d2b3cd76f9eb12985ee6c1578a:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.034ed50333a864080e", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "656042d2b3cd76f9eb12985ee6c1578a", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:656042d2b3cd76f9eb12985ee6c1578a:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.e1dde6ed632c883127", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "656042d2b3cd76f9eb12985ee6c1578a", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:656042d2b3cd76f9eb12985ee6c1578a:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.47a9767645551c2873", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "656042d2b3cd76f9eb12985ee6c1578a", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13509&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13509&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13509&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "711b3bfa1a399b2b5aff93ddb7db3e8b", "title": "Software Engineer - Python Full Stack", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13626&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer - Python Full Stack Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of professional software engineering experience Solid Python development skills, with exposure to AWS Lambda or serverless architectures Working knowledge of React and/or TypeScript for frontend development Familiarity with relational databases such as PostgreSQL or SQL Server Experience writing unit and integration tests using pytest or similar frameworks Comfortable working in version-controlled codebases and CI/CD environments Eagernes", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.f762646edec2b31b29", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "711b3bfa1a399b2b5aff93ddb7db3e8b", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Engineer - Python Full Stack Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of professional software engineering experience Solid Python development skills, with exposure to AWS Lambda or serverless architectures Working knowledge of React and/or TypeScript for frontend development Familiarity with relational databases such as PostgreSQL or SQL Server Experience writing unit and integration tests using pytest or similar frameworks Comfortable working in version-controlled codebases and CI/CD environments Eagernes", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:711b3bfa1a399b2b5aff93ddb7db3e8b:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.9812746c3d273c5180", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "711b3bfa1a399b2b5aff93ddb7db3e8b", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:711b3bfa1a399b2b5aff93ddb7db3e8b:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.bd23471ec7dc1c9ec2", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "711b3bfa1a399b2b5aff93ddb7db3e8b", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:711b3bfa1a399b2b5aff93ddb7db3e8b:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.ecc6df348143fdcb4e", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "711b3bfa1a399b2b5aff93ddb7db3e8b", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13626&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13626&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13626&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "a693f0cc0c7750a42a1cc6e70d89189e", "title": "AI DevOps Engineer", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": 157700, "salary_max": 157700, "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": "year", "base_salary_min": 157700, "base_salary_max": 157700, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12974&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI DevOps Engineer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills & Competencies 4+ years of experience with Terraform for provisioning and managing cloud resources. Hands-on experience with AWS and Azure; familiarity with GCP is a plus. Proficiency in creating and maintaining CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Azure DevOps. Experience with Docker and container orchestration. Strong skills in scripting languages (Python, Bash) and configuration management tools (Ansible, Chef, or Puppet). Familiarity", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule:title_override", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 8, "role_function": "engineering", "role_function_source": "rule:title_override", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.2f4f53189ad29a3059", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "a693f0cc0c7750a42a1cc6e70d89189e", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI DevOps Engineer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills & Competencies 4+ years of experience with Terraform for provisioning and managing cloud resources. Hands-on experience with AWS and Azure; familiarity with GCP is a plus. Proficiency in creating and maintaining CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Azure DevOps. Experience with Docker and container orchestration. Strong skills in scripting languages (Python, Bash) and configuration management tools (Ansible, Chef, or Puppet). Familiarity", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:a693f0cc0c7750a42a1cc6e70d89189e:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.4a77f09d3dd3e960d8", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "a693f0cc0c7750a42a1cc6e70d89189e", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:a693f0cc0c7750a42a1cc6e70d89189e:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.cad9b228aae0ccd782", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "a693f0cc0c7750a42a1cc6e70d89189e", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:a693f0cc0c7750a42a1cc6e70d89189e:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.ece2efc69e8dbd58f9", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "a693f0cc0c7750a42a1cc6e70d89189e", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12974&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12974&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12974&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": null }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12974&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12974&rcm_site_locale=en_US", "source_values": [ "rule:title_override" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "9aa5ea247027c3f4718983f117f60629", "title": "Director - Demand Generation (Banking)", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13735&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director - Demand Generation (Banking) Location not specified Skills and Competencies Significant experience delivering demand generation and field marketing strategy and execution across multi‑regional environments Strong ability to translate program and campaign strategy into demand‑generating and account‑based marketing programs that deliver measurable business impact Experience shaping regional event strategies and operating as a central coordination point for stakeholder alignment, subject matter expert input, and capacity approval with central events teams Proven people leadership experience, building and managing high‑performing teams while driving end‑to‑end marketing operational excellence, prioritisation, accountability, and consistent delivery Advanced stakeholder management and cross‑functional collaboration skills, with the ability to partner effectively with Sales, SDRs, Marketing Operations, Digital, Content & Campaigns, and Product Marketing Demonstrated proficiency in artificial intelligence concepts, applying AI tools to streamline marketing workflows, enhance targeting, improve campaign performance, and introduce responsible AI‑powered solutions to address business challenges Strong analytical capability, using data to assess regional effectiveness, optimise lead processes, and improve campaign and event outcomes Hands‑on experience using demand generation and account‑based KPIs to drive optimisation, efficiency, and customer engagement Experience working within account‑based engagement models, including familiarity w", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "director_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "marketing", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.793511f74b0571e5ea", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "9aa5ea247027c3f4718983f117f60629", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.d1a3ad9955773d33c3", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "9aa5ea247027c3f4718983f117f60629", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "marketing", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:9aa5ea247027c3f4718983f117f60629:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13735&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13735&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13735&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "6a2cdaa7e4f7278d092c5a62c2a0e103", "title": "FP&A Manager", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13792&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "FP&A Manager Location not specified Skills and Competencies 6-8+ years of relevant experience in FP&A, Corporate Finance, or equity research, with demonstrated experience analyzing and interpreting enterprise‑level P&L performance and key financial drivers; 2-3 years of leadership / management experience Strong hands‑on experience with Consolidated P&L management; scenario planning, financial modeling skills, including the ability to analyze and present financial performance on both reported and organic/inorganic bases, Cash flow forecasting, Incentive compensation / performance funding mechanics Excellent communication and stakeholder management skills, with the ability to present complex financial information to senior leadership and executive teams Proficient with MS Office Suite, notably Excel (including pivot tables) and PowerPoint; working knowledge of EPM platforms (Onestream) preferred Strong attention to detail and ability to manage multiple priorities under tight deadlines in a global, matrixed organization Experience in a public company/ global, multi‑segment organization preferred Exposure to executive‑level reporting, board materials, and earnings‑related analysis preferred Basic understanding of AI concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor's degree in Finance, A", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 6, "years_experience_max": 12, "role_function": "finance", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.employer_name.3ee690485d17597c99", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "6a2cdaa7e4f7278d092c5a62c2a0e103", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.076c45625e2916d6d6", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "6a2cdaa7e4f7278d092c5a62c2a0e103", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "finance", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:6a2cdaa7e4f7278d092c5a62c2a0e103:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13792&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13792&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13792&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "15933e5cef41e42264500b8f657e7b49", "title": "Staff Software Engineer - Python", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13621&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Engineer - Python Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 9+ years of software engineering experience with deep expertise in Python backend development (Lambda, API Gateway, FastAPI or similar). Frontend experience with React and TypeScript sufficient to review and guide UI engineers. Hands-on experience designing serverless architectures on AWS at production scale Strong knowledge of AWS Batch and Step Functions for long-running job orchestration Experience with AWS CDK or Terraform for infrastructure a", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.b6e0bc5c64e45a5d80", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "15933e5cef41e42264500b8f657e7b49", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Staff Software Engineer - Python Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 9+ years of software engineering experience with deep expertise in Python backend development (Lambda, API Gateway, FastAPI or similar). Frontend experience with React and TypeScript sufficient to review and guide UI engineers. Hands-on experience designing serverless architectures on AWS at production scale Strong knowledge of AWS Batch and Step Functions for long-running job orchestration Experience with AWS CDK or Terraform for infrastructure a", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:15933e5cef41e42264500b8f657e7b49:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.aaa3e6febeb6808892", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "15933e5cef41e42264500b8f657e7b49", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:15933e5cef41e42264500b8f657e7b49:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.fb934b999deb477187", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "15933e5cef41e42264500b8f657e7b49", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:15933e5cef41e42264500b8f657e7b49:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.c670a6776c75198dc3", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "15933e5cef41e42264500b8f657e7b49", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13621&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13621&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13621&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "5c8688ea53ea086030f13092207666a8", "title": "Assc Dir-Sales Representative", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12925&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Assc Dir-Sales Representative Location not specified Skills and Competencies 7+ years of experience in enterprise sales, with a strong track record selling complex software and data solutions to Tier‑1 financial institutions across Europe Proven ability to manage end-to-end sales cycles and close large, multi-stakeholder deals, with strong pipeline management and accurate forecasting Strong understanding of banking workflows and the strategic importance of risk, analytics, and data-driven decision-making Demonstrated ability to build and maintain senior-level relationships, including engagement with C-suite stakeholders Strong consultative selling skills, with ability to articulate both high-level strategic value and detailed product capabilities Excellent communication, negotiation, and stakeholder management skills across in-person and virtual environments Ability to operate independently while collaborating effectively within a global, matrixed organization Basic understanding of artificial intelligence concepts, with curiosity to explore how AI-driven solutions can enhance financial workflows and operational efficiency Experience within compliance, KYC, or financial crime solutions Familiarity with regulatory frameworks and risk domains such as Basel, IFRS 9, climate risk, cyber risk, or governance, risk and compliance Fluency in French in addition to English Education Bachelor's degree or equivalent required Advanced degree (e.g. Master of Business Administration, Law degree, or equivalent) preferred Responsibilities Drive", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 7, "years_experience_max": 11, "role_function": "sales", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.employer_name.0bf11f788d37b81baf", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5c8688ea53ea086030f13092207666a8", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_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.semantic.role_function.c83b8d18d22a700e38", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "5c8688ea53ea086030f13092207666a8", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "sales", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:5c8688ea53ea086030f13092207666a8:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12925&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12925&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=12925&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "47b8d59e456b50bffb397959fcfe8637", "title": "Senior Software Engineer - Python Full Stack", "employer_name": "Moody's Corporation", "employer_slug": "moody-s", "location_text": "Location not specified", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13622&rcm_site_locale=en_US", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer - Python Full Stack Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 5+ years of professional software engineering experience delivering production systems Strong Python backend development expertise using AWS Lambda, API Gateway, and boto3 Solid experience building and maintaining React and TypeScript frontend applications Proven experience working with AWS serverless architectures in production environments Hands-on experience with relational databases such as PostgreSQL or SQL Server Experience writing automated", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.32bac8da5bc6e0a3c3", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "47b8d59e456b50bffb397959fcfe8637", "signal_type": "query_match", "display_text": "Description: \"moody\"", "tooltip": "Description matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer - Python Full Stack Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 5+ years of professional software engineering experience delivering production systems Strong Python backend development expertise using AWS Lambda, API Gateway, and boto3 Solid experience building and maintaining React and TypeScript frontend applications Proven experience working with AWS serverless architectures in production environments Hands-on experience with relational databases such as PostgreSQL or SQL Server Experience writing automated", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:47b8d59e456b50bffb397959fcfe8637:description:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.53f65d130229ff642d", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "47b8d59e456b50bffb397959fcfe8637", "signal_type": "query_match", "display_text": "Employer: \"moody\"", "tooltip": "Employer matched \"moody\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "moody", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:47b8d59e456b50bffb397959fcfe8637:employer:moody", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.ceeec6c14d4b48f95f", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "47b8d59e456b50bffb397959fcfe8637", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer matched \"corporation\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:47b8d59e456b50bffb397959fcfe8637:employer:corporation", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "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.7df151e2a73aee132b", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "47b8d59e456b50bffb397959fcfe8637", "signal_type": "query_match", "display_text": "Employer: \"corporation\"", "tooltip": "Employer contains \"corporation\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Moody's Corporation", "matched_input": "corporation", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1059556/000162828026009136/mco-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13622&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13622&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://career8.successfactors.com/career?company=MoodysProd&career_ns=job_listing&navBarLevel=JOB_SEARCH&career_job_req_id=13622&rcm_site_locale=en_US", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "e2af86347280cd8dee472a9845d6dcdf", "title": "Nonlinear Rates Risk Technical Analyst – Vice President", "employer_name": "Citigroup Inc.", "employer_slug": "citigroup", "location_text": "NEW YORK, New York, 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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "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": "2026-06-12T10:25:24.000Z", "apply_url": "https://citi.eightfold.ai/careers/job/859034720299", "apply_url_verified": false, "ats": "eightfold", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Nonlinear Rates Risk Technical Analyst – Vice President NEW YORK, New York, United States of America", "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": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "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.semantic.role_function.28a3d393673fe4c59f", "query_id": "gq_cb62f86a9c6c6b83b71a", "job_id": "e2af86347280cd8dee472a9845d6dcdf", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "moody s corporation", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_cb62f86a9c6c6b83b71a:e2af86347280cd8dee472a9845d6dcdf:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/831001/000083100126000011/c-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://citi.eightfold.ai/careers/job/859034720299", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://citi.eightfold.ai/careers/job/859034720299", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } } ], "total": 215, "page": 9, "per_page": 24, "applied_filters": { "q": "Moody's Corporation" }, "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": [ "moody's", "corporation" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "55e4c03a-4f60-4823-89ec-879a89f299d0", "issued_at": "2026-08-16T15:32:20.409Z", "route": "/jobs", "page": 9, "per_page": 24, "total_results": 215, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:q5YSErxaieWs7EGFQV0j91SY1hF4n2cQVEhb1BOyDxs", "filter_hash": "hmac_sha256:6CBErDPXOFVCSNkSGbTmuw6GxoMjwSLro0KqZMtxL_0", "query_features": { "has_q": true, "q_term_count": 3, "q_length_bucket": "16_40", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [], "quality_floor": "default" }, "exposures": [ { "result_id": "f156ffd934f5976d97b2eafe8f1f9bce", "position": 193, "page_position": 1, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.2830014656185218, "rrf_score": 0.008339638214457665, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "7acc5536bb826e19ee63256c199d78a6", "position": 194, "page_position": 2, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.28832903047453995, "rrf_score": 0.008296336927269922, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "16d3120685e6a2cab8baafa3d63fa820", "position": 195, "page_position": 3, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.2919002597391438, "rrf_score": 0.008289568530532386, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "5e3bc184c173f79d0a0bcd0c5fbea745", "position": 196, "page_position": 4, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.2926365558721675, "rrf_score": 0.008192327022951917, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "95598a8bcdc26e81c234a768b7b5b7da", "position": 197, "page_position": 5, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.28999744117275106, "rrf_score": 0.008160421953525402, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "339ba476b47bf752765eb043ca848663", "position": 198, "page_position": 6, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.29781441105518147, "rrf_score": 0.008048582995951417, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "f420736be32f7db68b16ede46290bf7b", "position": 199, "page_position": 7, "retrieval_features": { "bm25_score": -12.280461192131042, "vector_score": 0.31423046248464126, "rrf_score": 0.008000637500996095, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "f44333c4558214b1381f3de939adb3f7", "position": 200, "page_position": 8, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.29547842794913914, "rrf_score": 0.007849703523917785, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "dbcf27ed415ac08f093961c9c7f17a1d", "position": 201, "page_position": 9, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.29729102270060515, "rrf_score": 0.007824439146647107, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "48f5369d1329d43e4b572a9f7b556512", "position": 202, "page_position": 10, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.31199177360632735, "rrf_score": 0.0077850478613837384, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "f7d5a947ccd84a93e2e73f67382a8903", "position": 203, "page_position": 11, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.29928104285710666, "rrf_score": 0.007706101157397116, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "5f56e78a4f1150007e374c36411d2406", "position": 204, "page_position": 12, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.3168224910709273, "rrf_score": 0.007611605527819984, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "b5c2f3668a5ba0d9c9637549ed2f5121", "position": 205, "page_position": 13, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.31154646735829505, "rrf_score": 0.00760500253018145, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "915e71f2b4825f652f6fb3c8bf92a233", "position": 206, "page_position": 14, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0.31772251970402565, "rrf_score": 0.0074973674973674975, "text_match_title": false, "text_match_employer": true, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "55f6f4dca65f898bd786d037623c3ac1", "position": 207, "page_position": 15, "retrieval_features": { "bm25_score": -12.280461192131042, "vector_score": 0, "rrf_score": 0.006493506493506494, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "656042d2b3cd76f9eb12985ee6c1578a", "position": 208, "page_position": 16, "retrieval_features": { "bm25_score": -12.280461192131042, "vector_score": 0, "rrf_score": 0.006289308176100629, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "711b3bfa1a399b2b5aff93ddb7db3e8b", "position": 209, "page_position": 17, "retrieval_features": { "bm25_score": -12.280461192131042, "vector_score": 0, "rrf_score": 0.005988023952095809, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "a693f0cc0c7750a42a1cc6e70d89189e", "position": 210, "page_position": 18, "retrieval_features": { "bm25_score": -12.280461192131042, "vector_score": 0, "rrf_score": 0.005208333333333333, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 65, "quality_score": 55 } }, { "result_id": "9aa5ea247027c3f4718983f117f60629", "position": 211, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.27941195491480963, "rrf_score": 0.004739336492890996, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "6a2cdaa7e4f7278d092c5a62c2a0e103", "position": 212, "page_position": 20, "retrieval_features": { "bm25_score": 0, "vector_score": 0.29833720336334557, "rrf_score": 0.004032258064516129, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "15933e5cef41e42264500b8f657e7b49", "position": 213, "page_position": 21, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0, "rrf_score": 0.004032258064516129, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "5c8688ea53ea086030f13092207666a8", "position": 214, "page_position": 22, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3020486471594993, "rrf_score": 0.00398406374501992, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "47b8d59e456b50bffb397959fcfe8637", "position": 215, "page_position": 23, "retrieval_features": { "bm25_score": -11.875152826309204, "vector_score": 0, "rrf_score": 0.00398406374501992, "text_match_title": false, "text_match_employer": true, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 45 } }, { "result_id": "e2af86347280cd8dee472a9845d6dcdf", "position": 216, "page_position": 24, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3059239594362958, "rrf_score": 0.00390625, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 65, "quality_score": 35 } } ] }, "context_signature": "iL4tB_ceruEN_trb2A7vRheoEOhrY2Og54OuHSzlaKI", "event_token": "iL4tB_ceruEN_trb2A7vRheoEOhrY2Og54OuHSzlaKI" } }