Remote Quantitative Analytics Manager, Bank Model Risk

Affirm; Baltimore (MD); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Equity rewards

Monthly stipends for health, wellness,

Tech spending

Job summary

Affirm is a remote-first company seeking an experienced model risk professional to join the Bank Model Risk Management team. You will validate sophisticated credit/fraud models, develop automated monitoring in Python, and partner across teams to ensure models are robust and compliant.

Base pay ranges for USA are substantial, with equity and stipends included as part of total compensation; visa sponsorship is not available. The role is remote-first with some office presence as needed.

Qualifications

• 7+ years of professional experience in a highly technical capacity (Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics).
• Deep understanding of the consumer credit lifecycle and/or fraud detection.
• Technical familiarity with loss forecasting/fraud prediction and stress-testing frameworks.
• Expert-level proficiency in Python (pandas, scikit-learn, statsmodels) for replicative modeling and backtesting.

Responsibilities

• Full-Stack Model Validation: validate credit/fraud models focusing on conceptual soundness and data integrity.
• Advanced Quantitative Monitoring: develop Python-based monitoring for KRI/KPI drift, PSI, and feature importance shifts.
• Remediation & Technical Advisory: work with 1st-line model developers to drive remediation of validation findings.
• Audit & Regulatory Liaison: coordinate with Internal Audit, Internal Controls, and Compliance to resolve requests.
• Affirm Bank: support the Bank Model Risk Management function and model validation for bank-owned models.

Skills

Python

SQL

Model validation

Quantitative analytics

Job description

Affirm is a remote-first company seeking an experienced model risk professional to join the Bank Model Risk Management team. You will validate sophisticated credit/fraud models, develop automated monitoring in Python, and partner across teams to ensure models are robust and compliant.

Base pay ranges for USA are substantial, with equity and stipends included as part of total compensation; visa sponsorship is not available. The role is remote-first with some office presence as needed.