Lead Analytics — Deposit Fraud & Risk (Remote)

Leyla; United States; Remote; USD 164,000 - 245,000; Full time

Benefits offered by this job

100% subsidized medical coverage

Tech spending stipends

Employee stock purchase plan (ESPP)

Generous holiday calendars

Job summary

Affirm is seeking a senior analytics leader to own fraud performance for depository products, monitoring losses, approvals, and false positives while reducing customer friction. You will build data models and dashboards, and influence risk strategy across Product, Engineering, ML, and Fraud Ops.

This remote-first role emphasizes collaboration with cross-functional teams, developing and testing fraud rules, and communicating insights to both technical and non-technical audiences across a modern

Qualifications

• 7+ years of Analytics experience.
• Fluent in SQL and Python; strong data modeling skills.
• Ability to translate data findings into actionable recommendations.

Responsibilities

• Own fraud performance metrics for depository products and monitor losses, approvals, and false positives.
• Build scalable data models and dashboards to track fraud and portfolio health.
• Develop and optimize fraud rules, thresholds, and models; test changes with pre/post evaluation.
• Collaborate cross-functionally with Product, Engineering, ML, Data Eng, and Fraud Ops.

Skills

SQL

Python

Analytics

Cross-functional collaboration

Tools

DBT

Job description

Affirm is seeking a senior analytics leader to own fraud performance for depository products, monitoring losses, approvals, and false positives while reducing customer friction. You will build data models and dashboards, and influence risk strategy across Product, Engineering, ML, and Fraud Ops.

This remote-first role emphasizes collaboration with cross-functional teams, developing and testing fraud rules, and communicating insights to both technical and non-technical audiences across a modern