Tech Stack

Description

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

Requirements

• Master's degree in quantitative field (PhD preferred)
• 2+ years experience building machine learning and statistical models
• Strong SQL and Python skills with large datasets
• Experience with databases and tools like SQL, NoSQL, Hive, SageMaker, Snowflake
• Knowledge of machine learning methods including regression, classification, clustering, neural networks, etc.

Responsibilities

• Develop, implement, and improve machine learning and statistical models for underwriting, portfolio management, loss mitigation, and forecasting
• Present model performance and insights to Credit, Risk, and Business Unit leaders
• Identify opportunities to apply advanced modeling approaches to solve complex business problems
• Collaborate with Model Risk Management to ensure models meet governance requirements
• Monitor models through dashboards and KPI tracking