Quantitative Analytics Manager, Affirm Bank Model Governance

📋 Description

• Full-Stack model validation of credit/fraud models; focus on soundness and data integrity.
• Automated monitoring in Python for drift, PSI, and feature shifts in real time.
• Remediation and advisory with first-line model developers to remediate findings and ensure robustness.
• Audit and regulatory liaison: collaborate with Internal Audit, Controls, and Compliance to resolve requests.
• Affirm Bank: support build-out of the Bank Model Risk Management function and validation for Bank-owned models.

🎯 Requirements

• 7+ years in technical roles (credit/fraud/financial risk modeling, validation, or analytics)
• Deep understanding of consumer credit lifecycle and/or fraud detection
• Technical familiarity with loss forecasting, fraud prediction, and stress-testing frameworks
• Expert-level Python (pandas, scikit-learn, statsmodels) for modeling and backtesting
• Mastery of SQL for large-scale data wrangling and data lineage audits
• Strong problem-solving and communication skills; able to translate complex ideas

🎁 Benefits

• Remote-first culture; majority of roles are remote
• Competitive benefits: medical coverage for you and dependents
• Flexible Spending Wallets for technology, food, and lifestyle needs
• Generous vacation and holidays; time off to rest and recharge
• ESPP - Employee stock purchase plan