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

Atlantic Group; New York (NY); Remote; USD 200,000 - 225,000; Full time

Job summary

Atlantic Group in the United States seeks a Director of Fraud Analytics, Risk & Strategy to lead fraud detection, data optimization, and risk for auto loans. Reporting to the CFO, you will oversee vendor relationships and ML model development.

You will design automated decisioning rules, set KPIs, and present trends to senior leadership. This role offers remote flexibility with limited travel to NYC.

Qualifications

• 8–12 years of experience in auto fraud analytics and underwriting risk.
• Experience managing third party fraud platforms and vendors.
• Advanced SQL, Python & AI tools.
• Deep expertise with auto origination systems (LOS) and auto lending risk factors.

Responsibilities

• Oversee fraud detection, data optimization, and risk for auto loans.
• Design and implement automated fraud decisioning rules and risk cutoffs.
• Establish KPIs for underwriting fraud capture rates and false positives.
• Oversee third party data providers.
• Perform quantitative analysis on application data and credit bureau attributes.
• Collaborate with data science to build/test/deploy ML fraud models.
• Present monthly fraud trend reports to executives and risk committees.

Skills

Auto fraud analytics

Underwriting risk strategy

Quantitative risk management

Tools

SQL

Python

AI tools

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 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.