SoFi
Senior Data Scientist – Loss Forecasting
Job Description
Employee Applicant Privacy Notice
Who we are:
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 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
#LI-DNI
Compensation and Benefits
The base pay range for this role is listed below. 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!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here – please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
