The Quantitative Engineer will be responsible for conducting theoretical and empirical research using public and proprietary data in various areas of mortgage finance. This role involves applying advanced mathematical, statistical, and econometric techniques to provide innovative solutions that support business strategies and initiatives.

Responsibilities:

• Conduct theoretical and empirical research in mortgage finance areas such as mortgage products and securities, borrower behavior, investment and hedging strategies, property valuation, macroeconomic models, financial valuation, economic capital, and stress testing.
• Apply moderately complex mathematical, statistical, and econometric techniques to develop practical solutions using SAS, SQL, and Python.
• Utilize advanced data mining and statistical techniques to develop analytic insights and recommendations for improving business performance.
• Complete modeling projects aligned with company policies and industry-wide practices.
• Implement validation and testing strategies to assess the quality and risk of model methodologies, outputs, and processes.
• Interpret model results in the context of relevant business factors, monitor performance, and assess risks.

Qualifications:

• PhD degree in Economics, Statistics, Finance, or related field preferred. Bachelor’s Degree or equivalent experience is required.
• Demonstrated academic training or empirical experience in econometrics or statistics, including data preparation and model estimation.
• Ability to evaluate data sources deeply to enhance forecast models.
• Experience providing customer support in model forecast and analytics.
• Proficiency in programming languages commonly used in model and application development.
• Ability to review technical requirements and provide prototype code and test results for application development.
• Experience in the financial services/banking and mortgage industry is preferred.
• Ability to research model development and performance tracking.
• Experience examining mortgage data and model outputs to assess analytical standards.
• Capability to perform ad hoc analysis for clients needing quantitative analysis.
• This is a remote position and requires the ability to work in a home office environment with the ability to work effectively surrounded by moderate home environment noise.