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< class="h3">Company Description

At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing environment. Here, you will help lead our industry forward and make your career.

< class="h3">Job Description

Quantitative Modeling - Advisor, Fannie Mae - Washington DC

• Conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including 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.
• Apply mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions to support business strategies and initiatives.
• Utilize data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
• Develop and implement validation strategies and assess the quality and risk of model methodologies, outputs, and processes
• Understand relevant business context to properly interpret model results, monitor performance and assess risks. Conduct ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python
• Communicate technical subject matter clearly and concisely, both verbally and through written communication via white papers, reports and presentations, to iniduals from various backgrounds
• Work autonomously guiding teams, choosing projects, and often act as SME resource across departments or as an in-house-expert.
• Remote work possible in this position.

 

 

< class="h3">Qualifications

Required: PhD in Economics or other quantitative field such as Mathematics or Physics plus 4 years’ related experience conducting quantitative analyses, modeling, or programming using MATLAB, R, Python, SAS and SQL; performing advanced econometric analysis including time series, panel data, discrete event modeling; financial industry performance modeling, property and financial asset valuation modeling. Must have demonstrated ability to independently complete a complex modeling project from the beginning to the end with minimal supervision from manager; and excellent written and oral communication skill in delivering complex technical information to audience with various backgrounds is required.

 

< class="h3">Additional Information

In response to COVID-19, Fannie Mae has adapted our workplace and hiring processes to better safeguard our employees, candidates, and new hires. We understand that this is an unprecedented situation and Fannie Mae is committed to creating protocols for these processes that are agile and conform with federal, state, and local health administration guidance. While the company's operating status for on-site work is currently voluntary, the majority of Fannie Mae's workforce is remote until further notice. We continue to conduct all interviews and onboarding virtually. In addition, all employees who wish to come on site must be fully vaccinated against COVID-19 and enter their vaccination information into a confidential HR system before arriving at the facility, unless they have an approved accommodation. Click here to go directly to information about accommodations.

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a erse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For iniduals with disabilities who would like to request an accommodation in the application process, email us at [email protected].