Fraud Risk Analyst; Remote

This opportunity is for experienced Fraud Detection, Financial Crimes Investigation, and AML professionals to contribute to advanced AI research and evaluation projects
.

You’ll apply your expertise to develop realistic enterprise fraud scenarios
, create reference investigations, and build evaluation rubrics that help AI systems accurately understand professional fraud detection and financial crimes workflows.

• Develop enterprise fraud scenarios involving transaction monitoring, investigations, and regulatory reporting
  .
• Create tasks covering payment fraud, account takeover, identity theft, AML, synthetic identity fraud, and merchant/card network fraud
  .
• Design fraud operations scenarios using platforms such as SAS Fraud Management, Actimize, Feedzai
  , and enterprise case management systems.
• Apply rules-based and ML-driven detection, network analysis, KYC/AML, and BSA compliance methodologies.
• Produce reference investigation reports, risk models, and executive-level fraud narratives
  .
• Develop rubrics that distinguish authentic enterprise fraud investigation judgment from generic textbook knowledge.

• 5+ years of experience in fraud detection, financial crimes investigation, or AML compliance.
• Experience at a Fortune 500 bank, payments company, or financial institution
  .
• Direct experience with large-scale fraud detection programs, investigation caseloads, or transaction monitoring systems
  .
• Strong knowledge of fraud detection tools, financial crimes methodologies, and regulatory reporting
  .
• Understanding of FinCEN, BSA/AML, law enforcement coordination, and case escalation
  .
• Strong analytical, investigative, and written communication skills.

• Experience with organizations such as JPMorgan Chase, Visa, Pay Pal, American Express, Wells Fargo
  , or similar institutions.
• Expertise in enterprise fraud technology and transaction monitoring platforms
  .
• Experience creating fraud-investigation training materials, rubrics, or case documentation
  .
• Familiarity with AI evaluation, machine learning, or data annotation is a plus.

• Competitive compensation of $60–$70/hour.
• Hourly contract engagement.
• Fully remote opportunity.
• Flexible work arrangement based on project requirements.