Position Details
About this role
This role involves developing loss forecasting models and risk analytics for SoFi's lending products, utilizing data analytics and machine learning techniques to support financial decision-making.
Key Responsibilities
- Develop loss projections
- Draw insights from data
- Build stress testing frameworks
- Collaborate with risk teams
- Improve forecasting accuracy
Technical Overview
The technical environment includes Python, SQL, statistical packages, and macroeconomic data sources, focusing on predictive modeling, stress testing, and loss analysis.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in financial risk modeling, proficient in Python and SQL, with strong skills in statistical analysis and machine learning applied to loss forecasting and stress testing.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python and SQL, No background in risk analytics or loss forecasting, Insufficient experience in financial data modeling
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