Senior Manager, Risk Strategy Data Scientist
Core
Formulating fraud and credit risk management strategies and controls for payments across different channels to balance customer experience against rising fraud threats.
Role type
Senior Manager, Risk Strategy Data Scientist
Builds
Risk strategies, operational policies, and AI/ML models for fraud detection and prevention
Domain
Fintech, Payments, Fraud Risk, Credit Risk
Deliverable
production ML models | product features
Required skills
Fraud detection and prevention, Credit risk management, Data-driven risk strategy, SQL, Excel, Visualization tools, AI/ML tools (LLMs, anomaly detection, generative AI), Model governance (drift, false positive/negative tradeoffs), Cross-functional stakeholder management, Policy and model optimization
Preferred skills
Python-based ML libraries, AutoML tools, Vendor AI solutions, Credit data systems familiarity
Technologies
SQL, Excel, Python, AutoML, LLMs, Generative AI
Responsibilities
Formulate fraud and credit risk management strategies and controls; Operationalize risk strategies with cross-functional teams; Define, develop, and deploy risk management methodologies and models; Drive operational efficiencies through policy and model optimization; Evaluate and govern AI-generated outputs in fraud risk context; Communicate risk policies to the broader organization
Seniority
Senior, hands-on IC with management responsibilities