Quantitative Analytics Lead

📋 Description

• Validate ML models for credit underwriting, risk, and fraud; monitor performance.
• Identify model weaknesses and improvement opportunities.
• Collaborate with model owners to remediate validation findings.
• Partner cross-functionally to implement and maintain the MRM framework.
• Collaborate with Internal Audit and Compliance to resolve audit/regulatory requests.

🎯 Requirements

• 4-6 years in model development, validation, or data science.
• Deep ML modeling expertise in credit underwriting, risk, or fraud.
• Proven ability with Python and SQL on large datasets.
• Experience with ML platforms (scikit-learn, PySpark) and cloud environments.
• BS/MS/PhD in Math, Data Science, or CS.
• Detail-oriented with strong problem-solving and communication.

🎁 Benefits

• Health care coverage - Affirm covers premiums for you and dependents.
• Flexible Spending Wallets with stipends for tech, food, lifestyle and family expenses.
• Time off - competitive vacation and holidays.
• ESPP - Employee stock purchase plan enabling you to buy shares at a discount.