Analytics Lead, Deposit Fraud Risk

About This RoleAI processing…

Key Responsibilities

• 1
  Build and maintain scalable data models and transformation pipelines, using tools (such as DBT) to standardize depository product, transaction, customer, fraud, and operational data.
• 2
  Define trusted fraud performance metrics and analytical datasets, including fraud loss rates, approval and decline rates, false-positive rates, customer friction, and operational efficiency.
• 3
  Develop recurring dashboards, scorecards, and monitoring frameworks to provide clear visibility into fraud performance, portfolio health, and emerging risks.
• 4
  Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, portfolio shifts, and unexpected performance changes, translating findings into actionable recommendations.

Requirements

• 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
• Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
• This role requires abundant cross-functional partnership.
• If you need support, we’re happy to help.
• For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
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Perks & Benefits