Quant Analytics Manager — Bank Model Risk & Validation

Affirm; San Francisco (CA); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Technology stipends

Time off

ESPP stock purchase plan

Job summary

Affirm is seeking an experienced Bank Model Risk Manager to lead independent validations of credit and fraud models. You will build automated Python monitoring, work with model developers to remediate issues, and partner with Audit and Compliance to satisfy regulatory requests.

The role is remote-first across the United States with occasional office presence, and you will join the Bank Model Risk Management team focusing on robust, compliant models for the Affirm Bank.

Qualifications

• 7+ years in technical roles such as model validation or quantitative analytics.
• Deep understanding of consumer credit lifecycle or fraud detection.
• Experience with loss forecasting and stress testing.
• Ability to translate complex ideas to non-technical audiences.

Responsibilities

• Perform independent validations of credit/fraud models focusing on conceptual soundness.
• Develop automated Python monitoring for drift and PSI in real-time.
• Collaborate with model developers to remediate findings.
• Liaise with Audit and Compliance to address requests.
• Support Bank Model Risk Management for bank-owned models.

Skills

Model Validation

Python (Pandas/Sklearn)

SQL

Credit/Fraud Risk

Communication

Job description

Affirm is seeking an experienced Bank Model Risk Manager to lead independent validations of credit and fraud models. You will build automated Python monitoring, work with model developers to remediate issues, and partner with Audit and Compliance to satisfy regulatory requests.

The role is remote-first across the United States with occasional office presence, and you will join the Bank Model Risk Management team focusing on robust, compliant models for the Affirm Bank.