Lead Quant Analytics Manager – Bank Model Risk

Affirm; Palo Alto (CA); On-site; USD 220,000 - 280,000; Full time

Benefits offered by this job

Health care coverage

Flexible Spending Wallets

Time off

ESPP

Job summary

Affirm is seeking an experienced professional for Bank Model Risk Management (MRM) to build and oversee risk frameworks for credit and fraud models. You will validate models, monitor performance, and collaborate cross-functionally to ensure mathematical robustness and regulatory alignment.

The role requires 7+ years in technical risk modeling, deep knowledge of consumer credit life cycle, Python (pandas, scikit-learn), and SQL. This remote-first position offers competitive base pay in California.

Qualifications

• 7+ years of professional experience in technical risk modeling, validation, or quantitative analytics.
• Deep understanding of the consumer credit lifecycle and/or fraud detection.
• Proficient in Python and SQL for modeling and data lineage audits.

Responsibilities

• Validate credit/fraud models including ML and statistical approaches.
• Develop automated monitoring in Python for KRI/KPI drift and PSI.
• Remediate validation findings with 1st-line model developers.
• Coordinate with Audit/Controls/Compliance for regulatory requests.
• Support Bank Model Risk Management for bank-owned models.

Skills

Python

SQL

Model validation

Credit modeling

Fraud detection

Communication

Tools

pandas

scikit-learn

statsmodels

SQL tooling

Job description

Affirm is seeking an experienced professional for Bank Model Risk Management (MRM) to build and oversee risk frameworks for credit and fraud models. You will validate models, monitor performance, and collaborate cross-functionally to ensure mathematical robustness and regulatory alignment.

The role requires 7+ years in technical risk modeling, deep knowledge of consumer credit life cycle, Python (pandas, scikit-learn), and SQL. This remote-first position offers competitive base pay in California.