{"schemaVersion":"jobsearcher.job.v1","id":"3dcd8160976c11129ee6ac0f","url":"https://jobsearcher.com/jobs/3dcd8160976c11129ee6ac0f","canonicalUrl":"https://jobsearcher.com/jobs/3dcd8160976c11129ee6ac0f","title":"Fraud Strategy & Model Risk Analytics","description":"OverviewPlacement Type:\r\nN/A\r\nSalary:\r\n$65-70 Hourly\r\n$65-67 / hourly as W2\r\nStart Date:\r\nJul 20, 2026\r\nFraud Strategy & Model Risk AnalyticsManager, Fraud Analytics & Governance\r\nDuration: 12 months, likely extension\r\nPay: $65 - $67 / hourly as W2\r\nCandidates need to work 3 days onsite each week in one of the below locations:\r\nDallas/Irving (TX), New Castle (DE), Jacksonville (FL), Sioux Falls (SD)\r\nRole SummaryAs a key member of the Fraud Analytics, Modeling & Intelligence organization, you will design and execute data-driven fraud strategies for North American and global portfolios. This high-impact role focuses on the full fraud lifecycle-from preventing synthetic ID and application fraud to mitigating sophisticated account takeover (ATO) schemes. You will sit at the intersection of data science and risk management, leveraging large-scale datasets to build proactive defenses that safeguard our customers and the bank's reputation.\r\nKey Responsibilities include:\r\nStrategy & Execution:Lead Fraud Strategy: Design, test, and implement automated fraud risk strategies within advanced decision engines for consumer and commercial portfolios.Lifecycle Management: Manage the end-to-end model lifecycle, partnering with developers, vendors, and Model Risk Management (MRM) to ensure models are validated, high-performing, and compliant.Innovation: Continuously evaluate new data sources, AI/ML capabilities, and external tools to stay ahead of evolving fraud patterns.\r\nAnalytics & Insights:Advanced Data Mining: Extract actionable insights from Big Data environments (Hadoop, Hive, Python) to identify emerging attack vectors and behavioral trends.Reporting & Governance: Support the \"Authorization Governance\" process by monitoring historical performance and translating complex data into clear, executive-level documentation.Technical Documentation: Produce rigorous technical reports that meet regulatory standards and survive deep-dive audits from supervisory authorities.Collaboration & Leadership:Cross-Functional Partnership: Act as a critical liaison between Fraud Policy, Operations, and Technology to ensure seamless execution of business priorities.Risk Advocacy: Foster a culture of transparency and ethical judgment, ensuring all strategic decisions align with global compliance and regulatory requirements.\r\nQualifications:Experience: 5+ years in Fraud, Payments, or Risk Analytics. Experience in the banking or fintech sector is highly preferred.Technical Proficiency: 3+ years of hands-on experience in a Big Data environment. Advanced proficiency in Python, SQL, SAS, or Hive/Impala is required.Analytical Rigor: Proven ability to apply mathematical and statistical techniques to solve complex, real-world business problems.Communication: Exceptional ability to \"translate\" technical findings into strategic narratives for senior leadership and regulatory bodies.Autonomy: A self-starter capable of navigating a complex global matrix organization with minimal oversight.\r\nEducation:Required: Bachelor's Degree in a quantitative field (Statistics, Mathematics, Physics, Economics, or Computer Science).Preferred: Master's Degree or Ph.D. in a related field.\r\n#LI-MG1","company":"Skill","rawCompany":"skill","city":"Sioux Falls","state":"SD","isRemote":false,"isActive":false,"createdAt":"2026-06-23T01:16:03.816Z","occupations":[{"code":"13-2054.00","title":"Financial Risk Specialists","slug":"financial-risk-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2099.04","title":"Fraud Examiners, Investigators and Analysts","slug":"fraud-examiners-investigators-and-analysts"}],"industries":[{"code":"522320","title":"Financial Transactions Processing, Reserve, and Clearinghouse Activities","slug":"financial-transactions-processing-reserve-and-clearinghouse-activities"},{"code":"522110","title":"Commercial Banking","slug":"commercial-banking"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Fraud Strategy & Model Risk Analytics","description":"OverviewPlacement Type:\r\nN/A\r\nSalary:\r\n$65-70 Hourly\r\n$65-67 / hourly as W2\r\nStart Date:\r\nJul 20, 2026\r\nFraud Strategy & Model Risk AnalyticsManager, Fraud Analytics & Governance\r\nDuration: 12 months, likely extension\r\nPay: $65 - $67 / hourly as W2\r\nCandidates need to work 3 days onsite each week in one of the below locations:\r\nDallas/Irving (TX), New Castle (DE), Jacksonville (FL), Sioux Falls (SD)\r\nRole SummaryAs a key member of the Fraud Analytics, Modeling & Intelligence organization, you will design and execute data-driven fraud strategies for North American and global portfolios. This high-impact role focuses on the full fraud lifecycle-from preventing synthetic ID and application fraud to mitigating sophisticated account takeover (ATO) schemes. You will sit at the intersection of data science and risk management, leveraging large-scale datasets to build proactive defenses that safeguard our customers and the bank's reputation.\r\nKey Responsibilities include:\r\nStrategy & Execution:Lead Fraud Strategy: Design, test, and implement automated fraud risk strategies within advanced decision engines for consumer and commercial portfolios.Lifecycle Management: Manage the end-to-end model lifecycle, partnering with developers, vendors, and Model Risk Management (MRM) to ensure models are validated, high-performing, and compliant.Innovation: Continuously evaluate new data sources, AI/ML capabilities, and external tools to stay ahead of evolving fraud patterns.\r\nAnalytics & Insights:Advanced Data Mining: Extract actionable insights from Big Data environments (Hadoop, Hive, Python) to identify emerging attack vectors and behavioral trends.Reporting & Governance: Support the \"Authorization Governance\" process by monitoring historical performance and translating complex data into clear, executive-level documentation.Technical Documentation: Produce rigorous technical reports that meet regulatory standards and survive deep-dive audits from supervisory authorities.Collaboration & Leadership:Cross-Functional Partnership: Act as a critical liaison between Fraud Policy, Operations, and Technology to ensure seamless execution of business priorities.Risk Advocacy: Foster a culture of transparency and ethical judgment, ensuring all strategic decisions align with global compliance and regulatory requirements.\r\nQualifications:Experience: 5+ years in Fraud, Payments, or Risk Analytics. Experience in the banking or fintech sector is highly preferred.Technical Proficiency: 3+ years of hands-on experience in a Big Data environment. Advanced proficiency in Python, SQL, SAS, or Hive/Impala is required.Analytical Rigor: Proven ability to apply mathematical and statistical techniques to solve complex, real-world business problems.Communication: Exceptional ability to \"translate\" technical findings into strategic narratives for senior leadership and regulatory bodies.Autonomy: A self-starter capable of navigating a complex global matrix organization with minimal oversight.\r\nEducation:Required: Bachelor's Degree in a quantitative field (Statistics, Mathematics, Physics, Economics, or Computer Science).Preferred: Master's Degree or Ph.D. in a related field.\r\n#LI-MG1","datePosted":"2026-06-23T01:16:03.816Z","dateModified":"2026-06-23T01:16:03.816Z","hiringOrganization":{"@type":"Organization","name":"Skill","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sioux Falls","addressRegion":"SD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3dcd8160976c11129ee6ac0f"},"url":"https://jobsearcher.com/jobs/3dcd8160976c11129ee6ac0f"}}