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Job description
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
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:
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 275k-325k + Strong Bonus & RSU's. Excellent Benefits & Full Comprehensive Package. Role Can be Fully Remote with Some Limited Travel to NYC & Boston Office. Tremendous Opportunity for Growth at this Global Fintech Firm.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.