<div><p><a href="https://www.sofi.com/sofi-employee-applicant-privacy-notice/" target="_blank"><strong>Employee Applicant Privacy Notice</strong></a></p> <p><strong>Who we are:</strong></p> <div> <p>Shape a brighter financial future with us.</p> <p>Together with our members, we’re changing the way people think about and interact with personal finance.</p> <p>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. <strong>Join us to invest in yourself, your career, and the financial world.</strong></p> </div></div><p>Social Finance LLC seeks Senior Data Scientist, Loss Forecasting in San Francisco, CA:</p> <p><br />Job Duties: Develop advanced quantitative and machine learning models for Current Expected<br />Credit Loss (CECL), loss forecasting, and stress testing. Aggregate and synthesize datasets<br />from multiple data environments. Analyze complex datasets to understand the performance and<br />drivers for losses across various products. Investigate external credit data to identify trends in<br />the market and industry. Conduct loss sensitivity analysis. Automate models and analytical<br />dashboards. Monitor the models’ performance and re-calibrating the models as needed. Work<br />with Business Units, Operations, Product, Capital Markets, Finance, Accounting and Risk<br />partners to ensure correct loss expectations and trend of losses are communicated effectively<br />and executed appropriately. Telecommuting is an option.</p> <p><br />Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer<br />Science, Statistical Practice, (any field), or a related quantitative discipline, and four (4) years of<br />experience in the job offered or in any occupation in a related field.</p> <p><br />Special Skill Requirements: Must have at least three (3) years of experience in (1) Develop<br />Comprehensive Capital Analysis and Review (CCAR), CECL loss forecasting models in<br />financial institutions using industry-standard methodologies; (2) Data Science; (3) Data<br />Analysis; (4) Predictive Modeling; (5) SAS or SAS Enterprise Miner; (6) Hive; (7) LaTeX; (8)<br />Python programming and PySpark; (9) Hadoop; and (10) Linux. Any suitable combination of<br />education, training and/or experience is acceptable. Telecommuting is an option.</p> <p><br />Salary: $191,000.00 - $219,650.00 per annum.<br />Submit resume with references using the apply button on this posting or email to: Req.# 24-<br />147363 at: ATTN: HR, jobadverts@sofi.org.</p> <p> </p> <p> </p> <p>#LI-DNI</p><div><div><strong>Compensation and Benefits</strong></div> <div>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. </div> <div> </div> <div>To view all of our comprehensive and competitive benefits, visit our <strong><a href="https://sofietyinfo.sofi.com/sofi-benefits" target="_blank">Benefits at SoFi</a> </strong>page!</div> <h5><span>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.</span></h5> <h5><span>The Company hires the best qualified candidate for the job, without regard to protected characteristics.</span></h5> <h5><span>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</span></h5> <h5><a href="https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf" target="_blank"><span>New York applicants: Notice of Employee Rights</span></a></h5> <h5><span>SoFi is committed to an inclusive culture. As part of this commitment, </span><span>SoFi </span><span>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 </span><a href="mailto:accommodations@sofi.com" target="_blank">accommodations@sofi.com.</a></h5> <h5><span>Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</span></h5> <div><strong>Internal Employees</strong></div> <div>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.</div></div>