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 risk & strategy)
Builds
Portfolio analytics, risk models, and regulatory reporting suites for card transaction strategies
Domain
Financial services / Credit risk / Banking
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modeling, Python, SQL, Graph/Linkage Analysis, Optimization Frameworks, Data Correlation, Visualization
Preferred skills
Credit risk analysis, Quantitative models, Predictive analytics, Big data management, Financial analysis
Technologies
Spark, Python, R, SQL
Responsibilities
Run complex business performance, risk, and operational analytics; Develop and execute segmentation and targeting for portfolio strategies; Collaborate with business and risk partners to establish credit risk appetite and policies; Design and monitor test designs for analytical reporting; Synthesize results to improve risk-adjusted returns and lending decisions
Seniority
Senior, hands-on IC
