Analytics Lead (Deposit Fraud Risk)

Affirm

New York, United States Posted October 20, 2026

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Remote Full-time Senior
Salary Range

$164,000 - $245,000

Job Description

Join Affirm Bank's Fraud team as an Analytics Lead, where you'll work cross-functionally to combat fraudulent activities and foster a safe platform. You'll own fraud performance for depository products, build and maintain scalable data models, develop fraud strategies, and partner with various teams to improve fraud strategies and support new product launches. Enjoy a remote-first work environment, generous time off, health benefits, and opportunities for learning and development.

  • Lead the charge on refining Identity Verification and Fraud processes, and work closely with Product and Engineering teams to improve Fraud solutions.
  • Own fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, and other key risk metrics.
  • Develop and optimize fraud rules, policies, thresholds, models, and decision strategies that balance loss prevention, customer experience, operational capacity, and product growth.
  • PEOPLE SKILLS - A team player with ability to collaborate and influence across many different teams in the organization
  • MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities
  • COMMUNICATION - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
  • TECHNICAL SKILLS - Fluent in SQL and Python
  • EXECUTION - Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
  • RISK KNOWLEDGE - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with fraud strategy development
  • EXPERIENCE - 7+ years’ of Analytics experience
  • PRODUCT KNOWLEDGE - Passion to understand how Affirm product works and a curious mindset to help change and make it more effective
Required Skills
learning and development collaboration time management communication SQL Python
How to apply

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