Social Finance, LLC 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 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 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].
Application Deadline: 4/26/2024
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