Senior Data Scientist - Loss Forecasting

FL - Jacksonville; DE - Claymont; CA - San Francisco HQ; NY - New York City; TX - Frisco

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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 fintech company 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.

The role

We are looking for a Senior Data Scientist to join our Loss Forecasting Team within Risk Analytics. This team member will work in the team that is responsible for forecasting losses across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. The Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem solving and communication skills. The ideal candidate will have expertise in analyzing large datasets and developing models using Python, SQL and other statistical analysis packages to get to the truth behind the data.

By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.

What you’ll do:

The Senior Data Scientist will help SoFi develop better data driven loss forecasting by:

  • Developing quantitative/machine learning models to forecast product losses
  • Aggregating and synthesizing data sets from multiple data environments
  • Analyzing complex datasets to understand the performance and drivers for losses across various products
  • Investigating external credit data to identify trends in the the market and industry
  • Conducting loss sensitivity analysis
  • Automating models and analytical dashboards
  • Working 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

What you’ll need:

  • 5+ years of loss forecasting experience with a Master’s or PhD degree
  • Proficient in Python, SQL & Tableau 
  • Experienced in model development and data analysis
  • Good understanding in basic Statistical / Machine learning models, e.g. linear regression, logistic regression, survival models, decision trees, random forests, clustering analysis etc.
  • Strong communications and presentation skills 
  • Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment
  • Prior experience in credit loss forecasting is a must

Nice to have:

  • Familiarity working with bureau sandbox data a plus
  • Experience with generating credit reporting dashboard a plus

Why you’ll love working here:

  • Competitive salary packages and bonuses
  • Comprehensive medical, dental, vision and life insurance benefits
  • Generous vacation and holidays
  • Paid parental leave for eligible employees
  • 401(k) and education on retirement planning
  • Tuition reimbursement on approved programs
  • Monthly contribution up to $200 to help you pay off your student loans
  • Great health & well-being benefits including: telehealth parental support, subsidized gym program
*These benefits are only applicable to full time employees
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.

Due to local law, all employees who will be working from, traveling to, or attending work related meetings in our New York City office must be fully vaccinated and boosted (when eligible).

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 accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Clustering Data analysis Data Analytics Finance FinTech Fraud risk Machine Learning ML models PhD Privacy Python SQL Statistics Tableau

Perks/benefits: Career development Competitive pay Flex vacation Health care Insurance Medical leave Parental leave Startup environment

Region: North America
Country: United States
Job stats:  6  1  0
Category: Data Science Jobs

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