Director Fraud Analytics, Risk & Strategy- Global Fintech Firm; Auto

• Reporting to the CFO
• Oversee & Support Fraud Detection, Data Optimization, and Risk for Auto Loans
• Evaluate Emerging Third-Party Identity Intelligence
• Ensure the Underwriting Process Blocks Synthetic Identities, Straw Buyers, Income Misrepresentation, and Application Fraud before Loans are Funded
• Design, Implement & Optimize Automated Fraud Decisioning Rules, Risk Cutoffs within the auto loan underwriting platform
• Establish KPIs for underwriting fraud capture rates, auto-approval rates, manual review queues, and false-positive friction
• Oversee all Third Party Data Providers
• Perform deep-dive quantitative analysis using SQL, Python, and AI tools on application data, credit bureau attributes, etc
• Work Closely with Data Science and Engineering to build, test, and deploy machine learning fraud models and custom risk scores
• Present monthly fraud trend reports, vendor performance metrics & underwriting loss forecasts to executive leadership and credit risk committees

• 8-12 Years of Experience in Auto Fraud Analytics, Underwriting Risk Strategy, Quantitative Risk Management within Consumer Lending, Auto Finance, Fintech, or Digital Banking
• Experience Managing Third Party Fraud Platforms and Vendors
• Advanced SQL, Python & AI Tools
• Advanced Experience in Modeling, Quantitative & Risk Analysis
• Deep Expertise with Auto-Origination Systems (LOS) & Strong Understanding of Auto Lending Risk Factors

Base Salary 200k-225k + Strong Bonus & RSU's. Excellent Benefits & Full Comprehensive Package. Role Can be Fully Remote with Some Limited Travel to NYC Office. Tremendous Opportunity for Growth at this Global Auto Finance Fintech Firm.