Quantitative Analytics Manager, Bank Model Governance

Stack

Responsibilities

• ▹Conducts rigorous, independent validations of sophisticated credit/fraud models, including ML and traditional statistical models
• ▹Develops automated, independent monitoring suites in Python to track KRI/KPI drift, PSI, and feature importance shifts in real time
• ▹Partners with first-line model developers to drive remediation of validation findings
• ▹Liaises with Internal Audit and Compliance to resolve audit and regulatory requests
• ▹Supports model validation requirements for Bank-owned models

Requirements

• ▹7+ years of professional experience in Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics
• ▹Deep understanding of the consumer credit lifecycle and/or fraud detection
• ▹Expert-level Python (pandas, scikit-learn, statsmodels) for replicative modeling and backtesting
• ▹Mastery of SQL for large-scale distributed datasets and data lineage audits
• ▹Exceptional interpersonal and communication skills for translating complex technical ideas

Soft skills

What we offer

• ▹100% subsidized medical, dental, and vision coverage for employees and dependents
• ▹Employee Stock Purchase Plan (ESPP)
• ▹Flexible spending wallets for technology, food, and lifestyle needs
• ▹Competitive vacation and holiday time off

About the company

Affirm is reinventing credit to be more honest and friendly, offering buy now, pay later without hidden fees or compounding interest.