Sofi is looking to develop and manage quantitative credit risk models for their Mortgage, Home Equity, HELOC, and Jumbo loan products to ensure model accuracy and effective implementation.
Requirements
- 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.
Responsibilities
- 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.
- Prepare, manage, and analyze large customer loan, deposit, or financial data sets for statistical analysis to properly specify and estimate econometric models.
- 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.
- Provide mentoring, training, and guidance to less experienced analysts.
- 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.
- Communicate with clear narratives, compelling data visualization, and technical precision to enable audiences to understand analysis and forecasts.
- Develop, maintain, and manage satisfactory model documentation, including process narratives and performance monitoring guidelines.
Other
- Serve as an expert in key areas of quantitative risk management, providing leadership, guidance, and mentorship to less experienced analysts.
- Communicate complex data and model results with clarity and precision to both technical and non-technical audiences is essential for success.
- Understand and adhere to the Company's risk and regulatory standards, policies, and controls.
- Experience in a fintech environment.
- Experience with advanced data science platforms.
