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,  macroeconomic models, including financial valuation of finance assets and derivatives, and economic capital. Additionally, you will coach and mentor team members.THE IMPACT YOU WILL MAKEThe Lead Quantitative Modeler - Credit Risk role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following 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 SAS, SQL, R, or Python.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.
Job Details
ID | #53288202 |
Estado | Washington |
Ciudad | Washington |
Tipo de trabajo | Full-time |
Salario | USD TBD TBD |
Fuente | Fannie Mae |
Showed | 2025-01-16 |
Fecha | 2025-01-16 |
Fecha tope | 2025-03-17 |
Categoría | Etcétera |
Crear un currículum vítae | |
Aplica ya |
Lead Quantitative Modeler - Credit Risk (Open to Remote)
Washington, Washington 00000 Washington USA