Fraud & Risk Analytics Lead

Affirm; Baltimore (MD); Remote; USD 164,000 - 224,000; Full time

Benefits offered by this job

Health coverage

Equity/stock purchase plan

Flexible time off

Tech stipends

Job summary

Affirm is seeking an experienced Fraud Analytics leader to own fraud performance for depository products, monitoring losses, approval rates, false positives, and customer friction. You will build scalable data models and dashboards, refine rules and strategies, and partner with Product, Engineering, ML, Data Engineering and Fraud Ops to scale protections while maintaining a smooth user experience.

The role emphasizes cross-functional partnership, rigorous analysis, and proactive risk management

Qualifications

• 7+ years of analytics experience.
• Strong SQL and Python proficiency.
• Experience building dashboards and data models for fraud/risk.
• Ability to translate data into actionable recommendations.

Responsibilities

• Own fraud performance for depository products, monitoring losses and KPIs.
• Build and maintain data models and transformation pipelines.
• Define and monitor fraud metrics and reporting dashboards.
• Develop and test fraud rules, policies, and models across analyses and product flows.
• Collaborate with Product, Engineering, ML, Data Engineering and Fraud Operations to improve strategies.

Skills

Analytics

SQL

Python

Cross-functional collaboration

Communication

Attention to detail

Problem solving

Tools

DBT

Job description

Affirm is seeking an experienced Fraud Analytics leader to own fraud performance for depository products, monitoring losses, approval rates, false positives, and customer friction. You will build scalable data models and dashboards, refine rules and strategies, and partner with Product, Engineering, ML, Data Engineering and Fraud Ops to scale protections while maintaining a smooth user experience.

The role emphasizes cross-functional partnership, rigorous analysis, and proactive risk management