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Senior Data Scientist, Fraud

Mercury

New This Week
Data ScienceFintechSenior (6-10 yrs)RemoteFintech Startup

Best for experienced data scientists interested in fraud detection and prevention at a modern startup bank.

AI → Finance

Location

Remote, US / San Francisco, CA / New York, NY

Posted

Mar 18, 2026

Build fraud detection ML models at Mercury protecting startup banking customers — remote-first with offices in SF, NYC, and Portland.

## About the Role Mercury is a financial technology company building banking for startups and scaling companies. As a Senior Data Scientist on the Fraud team, you will build, validate, and deploy ML models for fraud detection and prevention — protecting Mercury's customers from first-party fraud and account takeover. ## Responsibilities - Build and deploy ML models for fraud detection and prevention - Develop features and signals for first-party fraud and account takeover detection - Design experiments to validate model effectiveness - Collaborate with risk operations and engineering teams - Analyze fraud patterns and develop proactive detection strategies ## Requirements - 4+ years of data science or ML experience - Strong Python and SQL skills - Experience with fraud detection, anomaly detection, or risk modeling - Track record deploying models in production - Familiarity with financial services or payments data - MS or PhD in a quantitative field preferred

Skills & Technologies

PythonFraud DetectionML ModelsSQLAnomaly DetectionRisk ModelingBanking

Best Backgrounds

  • data science
  • fraud analytics
  • risk modeling
  • financial crime analytics

Related Titles to Explore

  • Senior Fraud Analyst
  • Fraud ML Engineer
  • Risk Data Scientist
  • Financial Crime Scientist

Interested in this role?

Apply directly on the company's career page.

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