Job Description
Role Overview \n
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Mercor is seeking senior fraud detection professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise fraud and financial crimes contexts.
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The workflows are calibrated to the transaction scale, adversarial sophistication, and financial-loss stakes of Fortune 500 banks, payment companies, and large enterprises.
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Contributors design enterprise fraud detection scenarios, draft reference outputs, and write rubrics that capture how senior F500 fraud and financial crimes operators think.
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Key Responsibilities \n
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Construct enterprise fraud scenarios spanning large-scale transaction monitoring, multi-stakeholder investigation workflows, and complex regulatory reporting cycles (SARs, CTRs) at F500 institutions.
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Build tasks across F500 payment fraud, account takeover and identity theft, anti-money laundering (AML), synthetic identity fraud, and merchant/card network fraud.
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Develop fraud operations scenarios involving tools such as SAS Fraud Management, Actimize, Feedzai, and enterprise case management/transaction monitoring platforms in F500 stacks.
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Apply enterprise fraud detection methodologies (rules-based and ML-driven detection models, network/link analysis, KYC/AML frameworks, BSA compliance) and produce reference investigation reports, risk models, and executive-level fraud narratives.
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Author rubrics that distinguish authentic enterprise fraud investigation judgment from generic textbook or certification-exam-level recall.
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Ideal Qualifications \n
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5+ years working in fraud detection, financial crimes investigation, or AML compliance at a Fortune 500 bank, payments company, or financial institution (JPMorgan Chase, Visa, PayPal, American Express, Wells Fargo).
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Direct ownership of F500-scale fraud detection programs, investigation caseloads, or transaction monitoring systems.
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Fluency in enterprise fraud detection tooling and methodologies, plus understanding of how F500 regulatory reporting (FinCEN, BSA/AML), law enforcement coordination, and case escalation actually work.
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Prior rubric, fraud-investigation training curriculum, or case documentation authorship is a plus.
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