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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