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  • Senior Data Platform Engineer

    Riskified - Lisbon
    Indexed from Greenhouse
    posted 219 days ago

    Why we showed this

    Description: "riskified"Employer: "riskified"
    +2
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed

    Senior Data Platform Engineer Lisbon About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world's biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified's AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role We're looking for a talented multi disciplinary Senior Data Platform Engineer with passion for infrastructure, who will be responsible for the performance, scale, and stability of our core data platform products. We are a data-driven organization, ingesting data at high rates, with demands increasing each day. As a Senior Data Platform Engineer , you will be part of the Data Platform group and will be responsible for a large scale production data platform that serves as the core infrastructure of our products. You'll develop self-service tools that support the

  • posted 105 days ago

    Why we showed this

    Description: "riskified"Employer: "riskified"
    +2
    Unspecified Sales From the posting source - Mid From the posting source Salary not disclosed

    Enterprise Account Manager- Temp (Maternity Leave Replacement) Tokyo About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world's biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified's AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role *This role is based in Tokyo, Japan *This role is temporary for 1 year (possible extension) At Riskified, we succeed when our merchants succeed. As such, you'll be the merchant's representative within Riskified, helping them to maximize the value they receive from our service. You will be expected to manage and prioritize their needs to ensure they're happy and profitable. Your clients will include Fortune 500 companies, big-box retailers, startups, travel merchants, and more. You'll collaborate daily with various Riskified teams, including Product, Analytics, Data

  • Senior Sales Enablement

    Riskified - New York
    Indexed from Greenhouse Comp disclosed in posting
    posted 255 days ago

    Why we showed this

    Employer: "riskified"Employer: semantic match
    Unspecified Sales From the posting source - Senior From the posting source $110K-$120K From the posting source Equity Unknown provenance 401(k) reported

    Senior Sales Enablement New York About Us We are seeking a high-impact Senior Global Revenue Enablement Manager to serve as a strategic bridge between our global leadership, cross-functional partners, and the frontline GTM teams. This role is designed for a "people-first" leader who excels at cross-company communication and can translate complex AI initiatives into actionable, human-centric sales strategies. While this role has a global scope, you will be the primary enablement partner for the US region , focusing on building deep relationships with leadership to drive alignment. Your mission is to ensure that our AI-driven initiatives aren't just "tools," but are integrated into the daily habits and culture of our Business Development (BD), Account Executive (AE), and Account Management (AM) teams. About the Role We are seeking a highly motivated and strategic Global Revenue Enablement Manager to design, develop, and execute high-impact enablement programs for our global Go-to-Market (GTM) teams, including Business Development (BD), Account Executives (AE), and Account Managers (AM). This role sits at the intersection of Sales Leadership, Product Marketing, and our cross-functional Integration teams. You will partner directly with our global Sales Representatives to ensure the GTM organization is fully equipped with the foundational skills, core sales methodologies, and unified product messaging needed to accelerate revenue growth and maximize merchant retention. The Global Revenue Enablement Manager will develop and implement a comprehensive global enablement strategy that optimizes the entire revenue lifecycle, from prospecting and qualification through negotiation and expansion. You will focus on scaling best practices, improving

  • Full Stack Engineer - Lumos Team

    Riskified - Lisbon
    Indexed from Greenhouse
    posted 114 days ago

    Why we showed this

    Description: "riskified"Employer: "riskified"
    +2
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed

    Full Stack Engineer - Lumos Team Lisbon About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world's biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified's AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role Join Riskified's dynamic payment fraud group as a Full Stack Developer and contribute to our innovative and rapidly expanding department. In this role, you'll thrive in an Agile setting, utilizing cutting-edge technologies to build impactful FinTech products. You'll play a crucial role in expanding Riskified's ecosystem, collaborating with both clients and internal teams to make a daily difference to our business. At Riskified, we uphold the belief that developers should exercise complete ownership over their work. This responsibility covers everything from the initial phase of planning features,

  • Legal, risk, and compliance

    Fidelity - Location not specified
    Indexed from Universal Benefit evidence checked Jun 7, 2026
    posted 64 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Legal, risk, and compliance Location not specified

  • Risk Consultant (m/w/d)

    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 93 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Consultant (m/w/d) DEU FRKF 18 FL6_E posted: Posted 30+ Days Ago

  • Risk Implementation Consultant

    Broadridge Financial Solutions - London - 12 Arthur Street
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 69 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Implementation Consultant London - 12 Arthur Street posted: Posted 7 Days Ago

  • Risk Management Professional - Insurance Risk

    Trimble Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 71 days ago

    Why we showed this

    Role: semantic match
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Management Professional - Insurance Risk 2 Locations posted: Posted 9 Days Ago

  • German Speaking Risk Associate

    Entain - Sofia, Sofia-Capital, Bulgaria
    Indexed from Smartrecruiters
    posted 64 days ago

    Why we showed this

    Role: semantic match
    Unspecified Operations From the posting source - Mid From the posting source Salary not disclosed

    German Speaking Risk Associate Sofia, Sofia-Capital, Bulgaria Company Description: Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together.nbsp; Job Description: As a Risk Associate you will work in the Risk Management & Credit, Game Fairness and Security Team in the Transaction Services department. You will be reporting to one of our team leads and be responsible for the identification and prevention of fraud. Are you looking for an opportunity to add true value to a team? What you will do Liaise with players on account related issues, resolving problems and ensuring high levels of customer care; Analyse customer deposits and account categories, to prevent fraud, correct errors and resolve problems; Analyse records of Affiliate accounts, to ascertain whether there are any irregularities; Suggest improvements to procedures and systems, in the interests of fraud prevention and customer care; Investigate financial irregularities on accounts; Work with colleagues in other departments to resolve account-related issues and prevent fraud; Help maintain quality control and customer care through analysis of player contact; Investigate risk issues relating to third party processors; Check gaming history. Qualifications: Do you have sound knowledge of the different aspects of Risk work including Online Payments or Financial Services

  • Risk Consultant

    Marsh McLennan - Los Angeles - 7th Street
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 79 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Consultant Los Angeles - 7th Street posted: Posted 17 Days Ago

  • Risk Management, Risk Data

    Morgan Stanley - London, United Kingdom
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 93 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Management, Risk Data London, United Kingdom posted: Posted 30+ Days Ago

  • Risk Consultant Zakelijke Verzekeringsmarkt (m/v/x)

    Marsh McLennan - Rotterdam - Conradstraat
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 69 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Consultant Zakelijke Verzekeringsmarkt (m/v/x) Rotterdam - Conradstraat posted: Posted 7 Days Ago

  • Risk Consulting (Graduate)

    Marsh McLennan - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 64 days ago

    Why we showed this

    Role: semantic match
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Consulting (Graduate) 2 Locations posted: Posted 2 Days Ago

  • Probabilistic Risk Assessment Practitioner

    Ameren - Steedman, MO
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 93 days ago

    Why we showed this

    Role: semantic match
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Probabilistic Risk Assessment Practitioner Steedman, MO posted: Posted 30+ Days Ago

  • Risk Data Scientist

    Indexed from Greenhouse
    posted 69 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity

    Risk Data Scientist Texas About the Role Forward processes payments for thousands of merchants across dozens of partner platforms. The Risk Data Scientist's job is to build the model-driven intelligence layer that replaces static rules with adaptive, evidence-based decisioning across three risk domains: merchant underwriting and approval optimization, real-time transaction fraud and anomaly detection, and AML/transaction monitoring and SAR prioritization. You will own the full modeling lifecycle - from problem framing and feature engineering to training, validation, deployment, monitoring, and regulatory governance. This is applied ML in a high-stakes, regulated financial context. Models you build will directly determine approval rates, fraud loss rates, chargeback exposure, and SAR filing quality. They will be scrutinized by bank sponsors, card networks, and regulators. The work demands both technical rigor and regulatory fluency: someone who understands why a gradient boosting ensemble outperforms logistic regression on imbalanced fraud data AND why SHAP explainability is a compliance requirement under ECOA adverse action rules. Forward is early in this journey. The person who takes this role will define the ML architecture, build the model governance framework, and set the standard for how Forward uses machine learning in regulated financial services. Key Responsibilities Merchant Risk: Underwriting and Approval Rate Optimization Build and own the merchant risk scoring model - the centerpiece of Forward's move from static rules to model-based decisioning. This model drives tier assignment (auto-approve, conditional approve, RFI, decline) for every merchant application, replacing hand-coded thresholds with evidence-based probability scores. Design vertical-specific scoring variants for contractor/home services,

  • Operational Risk Manager, Business Continuity

    Genworth Financial INC - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 91 days ago

    Why we showed this

    Unspecified Operations From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Operational Risk Manager, Business Continuity 2 Locations

  • Analyst, Market Risk

    Fidelity Investments - Jersey City, NJ
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 64 days ago

    Why we showed this

    Role: semantic match
    Unspecified Marketing From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Analyst, Market Risk Jersey City, NJ posted: Posted 2 Days Ago

  • Risk Mining Analyst II, Account Integrity

    Amazon - San Jose, San Jose, CRI
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 79 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk Salary not disclosed Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Risk Mining Analyst II, Account Integrity San Jose, San Jose, CRI Amazon's Account Integrity team (AIT) within the Customer Partner Trust organization is looking for a passionate, results-oriented Risk Mining Analyst (similar to business analyst) to leverage data, detect anomalies and prevent bad actors for harming our genuine customers. The incumbent will lead one of the core verticals of Risk Mining with AIT. The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud and abuse prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers. As a Business Analyst for Risk Mining in the Account Integrity group, you will be responsible for analyzing large data sets in partnership with product managers, scientists, and engineers, drive root cause analysis of ever changing bad actor behaviours and deploy rules that will prevent bad actors from gaining access to Amazon's platform. Note: The standard number of days for the role is 5 but will be required to work on either Tue- Sat or Sun - Fri with Sat or Sun as a fixed working day (with a week off on a standard work day).This is to provide round the clock coverage across Risk Mining. Key job responsibilities - Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space -

  • Risk Control Consultant

    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 93 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Risk Control Consultant 2 Locations posted: Posted 30+ Days Ago

  • Quantitative Risk

    State Street Corporation - Boston, Massachusetts
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 62 days ago

    Why we showed this

    Role: semantic match
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Quantitative Risk Boston, Massachusetts posted: Posted Today

  • Senior Consultant, Financial Risk

    Fidelity National Information Services - JPN TOKY 1-3-1 FLR12 BldgJA
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 93 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Consultant, Financial Risk JPN TOKY 1-3-1 FLR12 BldgJA posted: Posted 30+ Days Ago

  • Consultant, Risk Governance

    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 65 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Consultant, Risk Governance Toronto, ON posted: Posted 3 Days Ago

  • Risk Coordinator

    Pamt Corp - Tontitown, Arkansas
    Indexed from Bamboohr
    posted 61 days ago

    Why we showed this

    Role: semantic match
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Equity

    Risk Coordinator Tontitown, Arkansas Risk Coordinator

  • Risk Mining Analyst II, Account Integrity

    Amazon - San Jose, San Jose, CRI
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 121 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk Salary not disclosed Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Risk Mining Analyst II, Account Integrity San Jose, San Jose, CRI Amazon's Account Integrity team (AIT) within the Buyer Risk Prevention (BRP) organization is looking for a passionate, results-oriented Risk Mining Analyst (similar to business analyst) to leverage data, detect anomalies and prevent bad actors for harming our genuine customers. The incumbent will lead one of the core verticals of Risk Mining with AIT. The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud and abuse prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers. As a Business Analyst for Risk Mining in the Account Integrity group, you will be responsible for analyzing large data sets in partnership with product managers, scientists, and engineers, drive root cause analysis of ever changing bad actor behaviors and deploy rules that will prevent bad actors from gaining access to Amazon's platform. Key job responsibilities - Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space - Analyze complex customer trends to identify patterns, develop attritbutes that clearly articulate those pattern and incorporate those attributes into static rules for automated deployment in our account creation pipeline. - Operate as an on-call during rotation weeks to respond to high severity events impacting Amazon - Apply your expertise in quantitative analysis,

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