Fraud Data Scientist (Credit/Debit Card Transaction & Strategy)
Core
Develops predictive models and analytical strategies to assess credit and operational risk for credit/debit card portfolios and lending decisions.
Role type
Senior IC Fraud Data Scientist (Credit/Debit Card Strategy)
Builds
Portfolio analytics, risk models, and regulatory reporting suites for financial products
Domain
Financial Services / Credit Risk / Fraud Detection
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical Modeling, Python, R, SQL, Spark, Graph/Linkage Analysis, Optimization Frameworks
Preferred skills
Credit Risks, Quantitative Models, Predictive Analytics, Regulatory Environment - Financial Services, Big Data Management
Technologies
Spark, Python, R, SQL
Responsibilities
Run complex business performance, risk, and operational analytics; develop analytical methods to assess market, credit, and operational risk; analyze large datasets to improve risk-adjusted returns; design and monitor test designs for portfolio strategies; establish baselines and track performance against expectations; collaborate with partners to assess credit risk appetite and establish risk management policies.
Seniority
Senior, hands-on IC
