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Washington, D.C.

    Enterprise Analytics and Modeling - N/A, United States - Fannie Mae

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    Scientific
    Description

    Join Our Team as a Quantitative Modeler Lead Associate in Washington DC

    Are you passionate about conducting research in mortgage finance and leading a dynamic team? We are seeking a Quantitative Modeler to lead projects and provide innovative solutions. In this role, you will utilize advanced data mining techniques and statistical analysis tools while mentoring your team members. The ideal candidate will have a PhD in Economics or Statistics, with expertise in modeling using tools like Stata, R, and advanced econometric analysis.

    Responsibilities:

    • Lead projects and teams to deliver practical solutions
    • Conduct quantitative analyses and modeling using Stata, SAS, R, Python
    • Develop validation strategies for models
    • Communicate technical concepts clearly to leadership
    • Mentor and coach team members

    This position offers a hybrid work environment, combining office-based and remote work. Join us at Fannie Mae to make a real impact in the mortgage finance industry with your quantitative skills and expertise.



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