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Analytics Lead, Deposit Fraud Risk

Affirm· Bank Strategy
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Remote$185k - $245kFull-timePosted 3w ago

About the role

Analytics lead responsible for owning fraud performance for depository products, partnering across Product, Engineering, ML, Data, and Risk to refine identity verification, fraud processes, and application flow, while improving fraud strategies and reporting.

Responsibilities

  • Own fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics
  • Build and maintain scalable data models and transformation pipelines using tools (such as DBT) to standardize depository product, transaction, customer, fraud, and operational data
  • Define trusted fraud performance metrics and analytical datasets (fraud loss rates, approval/decline rates, false-positive rates, customer friction, operational efficiency)
  • Develop recurring dashboards, scorecards, and monitoring frameworks for visibility into fraud performance, portfolio health, and emerging risks
  • Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, portfolio shifts, and unexpected performance changes; translate findings into actionable recommendations
  • Develop and optimize fraud rules, policies, thresholds, models, and decision strategies balancing loss prevention and customer experience
  • Evaluate new data sources and signals to improve detection of identity risk, account takeover, device risk, transaction risk, and other fraud typologies
  • Lead testing and performance measurement of fraud strategy changes with pre- and post-implementation evaluation
  • Partner cross-functionally with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk to improve fraud strategies and product launches

Qualifications

  • 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
  • TECHNICAL SKILLS - Fluent in SQL and Python
  • PEOPLE SKILLS - A team player with ability to collaborate and influence across many different teams in the organization
  • COMMUNICATION - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
  • EXECUTION - Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
  • MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities
  • RISK KNOWLEDGE - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with fraud strategy development

Skills

Required:SQLPython

Benefits

  • Health coverage at no cost for employees and dependents
  • Monthly stipends for tech setup and health/wellness options
  • Flexible time off and generous holiday calendars
  • Employee stock purchase plan (ESPP)
  • Inclusive interview process and accommodations for candidates with disabilities
Last updated Sep 30, 2026. Interested? Apply on the company site.

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