Senior Data Scientist, Fair Lending

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

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The Role

The Risk and Operations Data Science team is looking for a Senior Data Scientist to support Credit Risk Fair Lending analytics at SoFi. The Senior Data Scientist will work within SoFi’s First Line of Defense to perform Fair Lending tests of various aspects of Credit Risk models and strategies, including underwriting, account management, income verification automation, etc. These tasks involve performing Fair Lending tests during model development to eliminate disparate treatment and disparate impact, and searching for alternative models that have no or less disparate impact and similar level of predictive power. The Senior Data Scientist will also perform Fair Lending analysis on Credit strategies to ensure there is no disparate treatment or disparate impact. This role is very rewarding as your work will help enhance SoFi’s Fair Lending test practices and improve fairness of the Credit Risk models and strategies.

What You’ll Do

  • Perform quantitative assessments on machine learning models or strategies to identify potential disparate impact on any specific groups categorized by age, gender, race, etc 

  • Detect data or attributes that may lead to disparate treatment or disparate impact during machine learning model development, eliminate or reduce disparate treatment and disparate impact before model finalization

  • Search for alternative models that have no or less disparate impact and provide a similar level of prediction power

  • Perform Fair Lending test for Credit strategies to identify and help eliminate disparate treatment or disparate impact

  • Communicate and document Fair Lending test processes with business stakeholders, Second Line of Defense Fair Lending team, legal, and compliance to collectively derive the conclusions and mitigation plans

  • Perform ongoing periodic Fair Lending tests on Credit models and strategies

What You’ll Need

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Master’s degree preferred.

  • 2-3 years of relevant work experience with building and implementing machine learning models 

  • 1-2 years of experience performing Fair Lending test on Credit Risk models and strategies in financial institutions

  • Excellent knowledge of machine learning and statistical modeling methods. These methods include (but not limited to) regression, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies

  • Strong programming skills in Python 

  • Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc. 

  • Excellent written and verbal communication skills to document and explain complex models and Fair Lending test results clearly and concisely

  • Experience working with Model Risk Management, legal, and compliance for regulatory compliance

Nice To Have

  • Experience in working closely with Product and Engineering

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 Computer Science Credit risk Deep Learning Engineering Finance FinTech Machine Learning Mathematics ML models NoSQL Physics Privacy Python SQL Statistical modeling Statistics

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

Region: North America
Country: United States
Job stats:  4  0  0

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