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

Atlantic Group; New York (NY); On-site; USD 275,000 - 325,000; Full time

Benefits offered by this job

Remote-friendly

Bonus potential

RSUs

Travel opportunities

Job summary

Atlantic Group seeks a Director of Fraud Analytics, Risk & Strategy for auto finance and lending. You will lead fraud detection, data optimization, and risk programs, while evaluating third-party identity intelligence and ensuring robust underwriting controls to block synthetic identities and misrepresentation.

Your scope includes building ML-based risk models, setting KPIs, and presenting insights to executive leadership. Remote work is possible with travel to NYC/Boston as needed.

Qualifications

• 8-12 years of experience in auto fraud analytics, underwriting risk strategy, and quantitative risk management in consumer lending or fintech.
• Experience managing third-party fraud platforms and vendors.
• Strong SQL, Python and AI tooling proficiency.

Responsibilities

• Oversee fraud detection, data optimization, and risk for auto loans.
• Evaluate third-party identity intelligence.
• Design, implement and optimize automated fraud decisioning rules and risk cutoffs.
• Establish KPIs for underwriting fraud capture rates, auto-approval rates, manual review queues, and false positives.
• Oversee all third-party data providers.
• Perform deep-dive quantitative analysis on application data and credit bureau attributes.
• Collaborate with data science and engineering to build and deploy ML fraud models and risk scores.
• Present monthly fraud trend reports and loss forecasts to leadership and risk committees.
• Role reports to CFO.

Skills

Advanced SQL

Python

AI Tools

Modeling & Risk Analysis

Tools

Auto Finance LOS

Data Visualization

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.