Tech Stack

Description

You will lead the design and implementation of machine learning models for mortgage risk, including default prediction and property valuation, and ensure models are productionized and meet regulatory standards.

Requirements

• Master's degree in quantitative field required; PhD preferred
• 5+ years experience building ML models in Home Loans or Home Equity
• Expert knowledge of statistical modeling and ML methods (XGBoost, LightGBM, etc.)
• Strong programming in Python and SQL
• Experience with production ML deployment using AWS SageMaker, Git, Docker

Responsibilities

• Lead design and implementation of ML models for mortgage use cases, including credit underwriting and automated appraisal reviews
• Provide technical oversight of externally developed models for quality and scalability
• Present model performance and portfolio insights to senior leadership
• Collaborate with Model Risk Management to meet regulatory compliance
• Partner with Product and Engineering to operationalize models and monitor deployment