Tech Stack

Description

You will develop advanced machine learning and statistical models to support credit risk and operational areas at SoFi, working with cross-functional teams to drive data-driven decision making. Your work will directly impact business profitability.

Requirements

• Master's degree in quantitative field (PhD preferred)
• 2+ years of experience building ML and statistical models
• Proficiency in SQL and Python for large datasets
• Experience with machine learning libraries (e.g., sklearn, xgboost, pytorch)
• Knowledge of databases (SQL, NoSQL, Hive) and cloud platforms (SageMaker, Snowflake)

Responsibilities

• Develop and implement machine learning models for credit risk, underwriting, and loss forecasting
• Present model performance insights to leadership
• Explore and leverage internal and external data to enhance model predictive power
• Collaborate with Model Risk Management to ensure model governance compliance
• Build dashboards and KPIs for ongoing model monitoring