Senior Quant Analytics Manager, Bank Model Governance

Affirm; Raleigh (NC); On-site; USD 195,000 - 255,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Equity rewards (USA 12)

ESPP (employee stock purchase)

Stipends for health, wellness and tech

Job summary

Affirm is hiring for a senior Bank Model Risk Management role. You will validate complex credit and fraud models, build automated monitoring, and collaborate across audit, controls, and compliance to ensure robust, compliant models. The position is remote-first within the United States.

The candidate should have 7+ years in technical risk modeling or validation, deep credit/fraud knowledge, and expert Python/SQL skills. Competitive pay and equity accompany a comprehensive benefits package.

Qualifications

• 7+ years in technical credit/fraud risk modeling, validation, or analytics.
• Deep understanding of the consumer credit lifecycle and fraud detection.
• Experience with loss forecasting, fraud prediction, and stress-testing.
• Expert Python proficiency for modeling and backtesting (pandas, scikit-learn, statsmodels).
• Strong SQL skills for large datasets and data lineage audits.
• Analytical problem-solver with attention to detail.
• Excellent communication to translate complex ideas to any audience.

Responsibilities

• Perform independent validations of credit/fraud models, including ML and traditional stats models.
• Develop automated monitoring in Python for drift, PSI, and feature importance shifts.
• Remediate validation findings with model developers to ensure robustness and compliance.
• Coordinate with Internal Audit, Internal Controls, and Compliance on audit/regulatory requests.
• Support Bank Model Risk Management for bank-owned models.

Skills

Python

SQL

Model Validation

Credit Risk Modeling

Machine Learning

Communication

Analytical Thinking

Tools

Pandas

Scikit-learn

Statsmodels

Jupyter

Job description

Affirm is hiring for a senior Bank Model Risk Management role. You will validate complex credit and fraud models, build automated monitoring, and collaborate across audit, controls, and compliance to ensure robust, compliant models. The position is remote-first within the United States.

The candidate should have 7+ years in technical risk modeling or validation, deep credit/fraud knowledge, and expert Python/SQL skills. Competitive pay and equity accompany a comprehensive benefits package.