Lead Quantitative Modeler - Risk Quantification and Risk Factor Modeling (Flexible Hybrid)

About the position

As a valued colleague on our team, you will act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models, including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing. Additionally, you will coach and mentor team members.

Responsibilities

• Lead teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Python, R, SQL.
• Coach and mentor team members in utilizing data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
• Identify opportunities to apply quantitative methods to improve business performance.
• Apply advanced skill, knowledge, and/or experience while leading teams to complete modeling projects aligned with established company policies and industry-wide modeling practices.
• Contribute to developing validation or testing strategies and assessing the quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks.
• Communicate technical subject matter clearly and concisely to department leadership and teams.

Requirements

• 4 years of research or industry experience in quantitative finance, econometric modeling, economics, and risk modeling.
• Solid programming skills in Python, C++, R or MATLAB.
• Bachelor’s degree or equivalent.

Nice-to-haves

• Advanced Degree in Data Science, Economics, Math, Statistics, or a related field; Ph.D. Preferred.
• In-depth knowledge of time series modeling, stochastic calculus, term structure, and fixed-income valuation.
• Hands-on experience building time series, term structure or other economic and financial models.
• 3+ years of programming experience in Python, C++, R or MATLAB.
• Fast learner in the modeling area and mortgage business.
• Good communicator with proven ability to explain complex models to business users and stakeholders.

Benefits

• Broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being.