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Senior Data Scientist, Loss Forecasting

Senior Data Scientist, Loss Forecasting

SoFiSan Francisco, CA, United States
1 day ago
Job type
  • Full-time
Job description

Who we are

Shape a brighter financial future with us. Together with our members, were changing the way people think about and interact with personal finance. Were 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 were at the forefront. Were proud to come to work every day knowing that what we do has a direct impact on peoples lives, with our core values guiding us every step of the way.

Job Overview

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 model performance and recalibrate as needed.
  • Work with Business Units, Operations, Product, Capital Markets, Finance, Accounting, and Risk partners to ensure correct loss expectations and to communicate trends effectively and execute appropriately.
  • Telecommuting is an option.

Minimum Requirements

Masters degree (or foreign equivalent) in Computer Science, Statistical Practice, or a related quantitative discipline, and four (4) years of experience in the job offered or in a related field.

Special Skill Requirements

  • Three (3) years of experience in CECL loss forecasting models (e.g., CCAR) in financial institutions using industry-standard methodologies.
  • Experience in Data Science, Data Analysis, Predictive Modeling.
  • Proficiency with SAS or SAS Enterprise Miner, Hive, LaTeX, Python programming, PySpark, Hadoop, and 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, jobadverts@.

    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 candidates 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 an inclusive culture. 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 accommodations@. 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.

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    Senior Data Scientist • San Francisco, CA, United States

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