Full-Time Staff Data Scientist

Social Finance, LLC seeks Staff Data Scientist in San Francisco, CA.

Job Duties: Analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending products.

Architect credit underwriting, pre-screening targeting, risk tier assignment, and Loan amount assignment strategies. Use deep analysis to power the future of lending with an optimal real-time data ecosystem – including multi-product internal, bureau, third-party, and alternative data sources and uses.

Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue.

Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary and identify gaps/opportunities and drive actions.

Minimum Requirements: Master's degree (or its foreign degree equivalent) in Quantitative Finance, Data Science (any field), or a related quantitative discipline, and five (5) years of experience in the job offered or in any occupation in a related field.

Special Skill Requirements: Five years of experience in Risk Analysis, Origination Credit Strategies, Loss Forecasting, Cash Flow Analysis, Monitor performance, A/B Test, Python, Tableau, Excel, and SQL Server.

Any suitable combination of education, training, and/or experience is acceptable.

Telecommuting is an option.

What is the last date for applying to the job?

Which countries are accepted for this remote job?