Fraud Analytics Lead (Remote) – Risk & Strategy

Affirm; Boulder (CO); Remote; USD 164,000 - 224,000; Full time

Benefits offered by this job

Health coverage

Tech stipend

Flexible time off

ESPP

Job summary

Affirm is seeking a Senior Fraud Data Analytics professional to own fraud performance for depository products. You will build scalable data models with DBT, define metrics, and develop dashboards to monitor fraud losses, approval rates, and operational efficiency.

You will partner with Product, Engineering, ML, and Risk to refine identity verification and fraud controls and drive data-driven decision making.

Qualifications

• 7+ years of analytics experience.
• Fluent in SQL and Python.
• Strong cross-functional collaboration across Product, Engineering, ML, Data Engineering, Fraud Operations, and Risk.

Responsibilities

• Own fraud performance for depository products, monitor losses, approval rates, false positives, and customer friction.
• Build and maintain scalable data models and pipelines with DBT to standardize depository product, transaction, customer, fraud, and operational data.
• Define fraud performance metrics and datasets; develop dashboards and monitoring frameworks for portfolio health and risks.
• Develop and optimize fraud rules, thresholds, models, and decision strategies balancing loss prevention with customer experience and product growth.

Skills

SQL

Python

Cross-functional collaboration

Data analysis

Tools

DBT

Job description

Affirm is seeking a Senior Fraud Data Analytics professional to own fraud performance for depository products. You will build scalable data models with DBT, define metrics, and develop dashboards to monitor fraud losses, approval rates, and operational efficiency.

You will partner with Product, Engineering, ML, and Risk to refine identity verification and fraud controls and drive data-driven decision making.