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Social Finance Inc. seeks Senior Data Scientist - Loss Forecasting in San Francisco, CA:
Job Duties: Develop quantitative/machine learning models to forecast product losses. Aggregate and synthesize data sets from multiple data environments. Analyze complex datasets to understand the performance and drivers for losses across various products. Investigate external credit data to identify trends in the market and industry. Conduct loss sensitivity analysis. Automate models and analytical dashboards. Work with Business Units, Operations, Product, Capital Markets, Finance, Accounting, and Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and executed appropriately. Telecommuting is an option.
Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Mathematics, or closely related quantitative discipline, and one (1) year of experience in the job offered or in any occupation in a related field, OR Bachelor’s degree, or foreign equivalent, in Data Science, Mathematics, or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in a related field.
Special Skill Requirements: (1) Data Analytics; (2) Python; (3) SQL; (4) Statistical Models; (5) Distributed Computing; (6) Spark; (7) R; (8) Machine Learning; (9) Tableau; (10) Predictive Modeling. Any suitable combination of education, training, and/or experience is acceptable. Telecommuting is an option.
Salary: $186,846.00 - $214,872.00 per annum
Submit resume with references to: Req.# 22-131673 at: ATTN: HR, [email protected].
Compensation and Benefits
The base pay range for this role is listed below. The final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
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