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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 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.
The role
As the Senior Staff Data Scientist Quantitative Credit Risk Management, Home Loans, you will be a key leader and expert in the development and management of quantitative credit risk models for our Mortgage, Home Equity, HELOC, and Jumbo loan products. This role is highly technical and requires a demonstrated ability to independently develop, implement, and maintain complex models used for underwriting and Risk Base Pricing and Portfolio Optimization. You will serve as an expert in key areas of quantitative risk management, providing leadership, guidance, and mentorship to less experienced analysts while collaborating with various business units and risk functions to ensure model accuracy and effective implementation. Your ability to communicate complex data and model results with clarity and precision to both technical and non-technical audiences is essential for success.
What you’ll do:
Model Development and Management: Independently develop, implement, maintain, and analyze quantitative/econometric credit risk models (e.g., loan delinquency, default, loss, prepayment, Risk Based Pricing, Credit Decision Models, and utilization models) specifically for home lending products.
Data Analysis: Prepare, manage, and analyze large customer loan, deposit, or financial data sets for statistical analysis to properly specify and estimate econometric models.
Technical Leadership: Serve as a quantitative expert in the use of statistical programming languages (SAS, Python, Stata, R) and data management environments, such as SQL Server Management Studio, to analyze Bank datasets.
Team Leadership: Provide mentoring, training, and guidance to less experienced analysts. Lead team-based projects related to model development or implementation, providing performance feedback to management as appropriate.
Cross-Functional Collaboration: Partner and collaborate with colleagues in Credit Risk Management, Business Units, Model Risk Management, Treasury and review functions (Credit Review, Audit, etc.) to implement and understand models.
Communication: Communicate with clear narratives, compelling data visualization, and technical precision to enable audiences to understand analysis and forecasts.
Model Documentation and Compliance: Develop, maintain, and manage satisfactory model documentation, including process narratives and performance monitoring guidelines. Understand and adhere to the Company's risk and regulatory standards, policies, and controls.
Performance Monitoring: Track portfolio performance, model performance, campaign tracking, and risk strategy results, incorporating new data and observations into existing models to improve predictive results.
What you’ll need:
Bachelor's degree and a minimum of 12 years of proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 12 years of higher education and/or work experience, including a minimum of 8 years of proven quantitative behavioral modeling experience.
Minimum of 8 years of on-the-job experience with pertinent statistical software packages (Python, Stata, R).
Minimum of 8 years of on-the-job experience with data management environments, such as SQL Server Management Studio.
Minimum of 8 years of on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs.
Credit modeling experience (mortgage and/or HELOC credit modeling) is required.
Proven ability to identify, analyze, rationalize, and communicate complex business, data, and statistical problems and recommend corresponding solutions.
Demonstrated attention to detail, execution, and follow-up on multiple initiatives.
Ability to work independently and manage complex projects.
Nice to have:
Experience in a fintech environment.
Experience with advanced data science platforms.
Top Skills
What the Team is Saying
What We Do
For over a decade, SoFi has helped transform the Fintech industry by creating financial products and services that help people borrow, save, spend, invest, and protect their money better, so they can achieve financial independence and realize their ambitions. Whether it’s owning a home, saving for retirement, paying off their student loans, or helping our members invest - SoFi is there every step of the way. Want to learn more about how it works? Check it out here: https://www.sofi.com/how-it-works/
Our core values are at the center of how we help our millions of members get their money right. They are our guiding principles for how we think about serving our members, building our company, and most importantly, how we work together. At SoFi, it’s not just what we do - but how we do it.
SoFi is also proud to be the naming rights partner of SoFi Stadium, home of the Los Angeles Chargers and the Los Angeles Rams.
For more information, visit SoFi.com
Why Work 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 members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.
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