Analyst II, Full Stack (Fraud Analytics)

About this role

Affirm seeks a Full Stack Fraud Analytics Analyst to develop and optimize fraud prevention strategies using data-driven insights. You'll collaborate across Product, Engineering, Operations, and Finance teams to build fraud detection frameworks, manage ML model thresholds, and drive experimentation to improve conversion rates while reducing fraud losses.

What you'll do

• Explore data to identify product improvement opportunities and optimize fraud strategies through online experimentation
• Translate analytical findings into business logic recommendations to improve conversion and fraud rates
• Develop scalable frameworks for managing tiered cutoffs on proprietary fraud ML models
• Evaluate new data sources and partner with data engineering to maintain analytical data pipelines
• Own end-to-end analytics workflows including metrics definition, dashboards, and reporting
• Collaborate with ML, Product, and Engineering teams on fraud and identity verification strategies

What they're looking for

• SQL and Python programming
• Data analysis and statistical modeling
• A/B testing and experimentation design
• Dashboard and reporting creation
• Cross-functional collaboration and communication
• Payment processing and risk strategy knowledge
• Customer risk management
• Problem-solving in fast-paced environments

Benefits

• 100% subsidized medical, dental, and vision coverage for employee and dependents
• Monthly health, wellness, and tech spending stipends
• Equity compensation opportunities
• Remote-first work arrangement with flexibility
• Competitive base pay ($128K-$205K depending on location and experience)
• Access to Affirm's mission-driven fintech environment