Senior Quantitative Modeler at Fannie Mae in Washington, DC

Job description

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in the areas of mortgage finance business, including residential property valuation, home price index estimation, and home price forecasting . THE IMPACT YOU WILL MAKE The Senior Quantitative Modeler 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: Apply moderately complex mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives. Apply experience and skill to complete modeling projects aligned with established company policies and industry-wide modeling practices. Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SQL, R, or Python. Utilize advanced 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. Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes. Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks. Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or work papers. THE EXPERIENCE YOU BRING TO THE TEAM Minimum Required Experiences: Bachelor degree or equivalent 2+ years of data analysis and modeling experience Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work Desired Experiences: Post graduate degree or equivalent in the field of statistics, physics, or math Experience with large data analysis and modeling Preparing technical documents on data analysis and results Proficient in SQL, Python, GitHub, and AWS Enterprise Modeling and Analytics - Quantitative Modeling - Senior Associate Target Pay Range: $123,000 - $161,000 a year #LI-ME1 Qualifications Education: Bachelor's Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers. For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form . The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive