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Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
Social Finance LLC seeks Senior Data Scientist, Loss Forecasting in San Francisco, CA:
Job Duties: Develop advanced quantitative and machine learning models for Current Expected
Credit Loss (CECL), loss forecasting, and stress testing. Aggregate and synthesize datasets
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. Monitor the models’ performance and re-calibrating the models as needed. 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 its foreign degree equivalent) in Computer
Science, Statistical Practice, (any field), or a related quantitative discipline, and four (4) years of
experience in the job offered or in any occupation in a related field.
Special Skill Requirements: Must have at least three (3) years of experience in (1) Develop
Comprehensive Capital Analysis and Review (CCAR), CECL loss forecasting models in
financial institutions using industry-standard methodologies; (2) Data Science; (3) Data
Analysis; (4) Predictive Modeling; (5) SAS or SAS Enterprise Miner; (6) Hive; (7) LaTeX; (8)
Python programming and PySpark; (9) Hadoop; and (10) Linux. Any suitable combination of
education, training and/or experience is acceptable. Telecommuting is an option.
Salary: $191,000.00 - $219,650.00 per annum.
Submit resume with references using the apply button on this posting or email to: Req.# 24-
147363 at: ATTN: HR, [email protected].
#LI-DNI
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What We Do
For over a decade, SoFi has helped transform the Fintech industry by creating financial products and services that help people borrow, save, spend, invest, and protect their money better, so they can achieve financial independence and realize their ambitions. Whether it’s owning a home, saving for retirement, paying off their student loans, or helping our members invest - SoFi is there every step of the way. Want to learn more about how it works? Check it out here: https://www.sofi.com/how-it-works/
Our core values are at the center of how we help our millions of members get their money right. They are our guiding principles for how we think about serving our members, building our company, and most importantly, how we work together. At SoFi, it’s not just what we do - but how we do it.
SoFi is also proud to be the naming rights partner of SoFi Stadium, home of the Los Angeles Chargers and the Los Angeles Rams.
For more information, visit SoFi.com
Why Work With Us
Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative, mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.
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Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule, the in-office requirement is a handful of days per month!
