Fraud Analytics Lead: Cross-Functional Impact

Affirm; Cleveland (OH); Remote; USD 164,000 - 245,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Tech and wellness stipends

Generous holiday calendar

Employee stock purchase plan (ESPP)

Job summary

Affirm is seeking a senior analytics professional to own fraud performance for depository products. You will partner with Product, Engineering, ML, Data Engineering, Fraud Operations, and Risk to refine identity verification and fraud processes while improving the overall fraud solution.

Responsibilities include building scalable data models, developing dashboards, and defining metrics to monitor fraud losses, approvals, false positives, and customer friction.

Qualifications

• 7+ years of Analytics experience
• Fluent in SQL and Python
• Experience partnering with Product, Engineering, ML, Data Eng, Fraud Ops, and Risk
• Knowledge of payment processing risk trends is a plus

Responsibilities

• Own fraud performance for depository products, monitoring losses, approval rates, false positives, and customer friction.
• Build and maintain scalable data models and transformation pipelines (DBT) to standardize depository data.
• Define trusted fraud performance metrics and dashboards for portfolio health and emerging risks.
• Lead testing and evaluation of fraud rule changes and model updates with cross-functional partners

Skills

SQL

Python

Analytics

Cross-functional collaboration

Risk management

Communication

Tools

DBT

Job description

Affirm is seeking a senior analytics professional to own fraud performance for depository products. You will partner with Product, Engineering, ML, Data Engineering, Fraud Operations, and Risk to refine identity verification and fraud processes while improving the overall fraud solution.

Responsibilities include building scalable data models, developing dashboards, and defining metrics to monitor fraud losses, approvals, false positives, and customer friction.