Data Scientist – Fraud Strategy & Portfolio Analytics
Core
Develops predictive models and analytical methods to assess market, credit, and operational risk for financial products and portfolios.
Role type
Senior IC data scientist (fraud strategy & portfolio analytics)
Builds
Production ML models | dashboards & analysis
Domain
Banking / Financial Services / Risk Management
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, R, predictive modeling, statistical analysis, anomaly detection, financial analysis, risk appetite assessment
Preferred skills
Banking experience, anti-fraud experience, digital transaction products (ACH, Wire Transfer, ETC), model development, quantitative models
Technologies
SQL, Python, R
Responsibilities
Run complex business performance, risk, and operational analytics; develop and execute segmentation and targeting for acquisition and portfolio strategies; design and monitor test designs and analytical reporting; establish baselines for strategies and track actual performance; collaborate with partners to assess and establish credit risk appetite and policies.
Seniority
Senior, hands-on IC
