Global Fintech Firm Seeks a Director Fraud Analytics, Risk & Strategy (Auto Finance/Lending)
*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
*Oversee Underwriting Fraud Strategy
*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
Qualifications
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8-12 Years of Experience in Auto Fraud Analytics
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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.
ID#50343
