Fannie Mae Corp Washington , DC 20319
Fannie Mae provides reliable, large-scale access to affordable mortgage credit in communities across our nation. We are the leading source of funding for housing in America, which means more people can buy or rent a home. We are focused on sustaining the housing recovery, improving our company, and leading change to make housing better.
Join our diverse, high-performing team and make a difference as we work together to enable access to a good home.
For more information about Fannie Mae, visit http://www.fanniemae.com/progress
Support, develop, assess, and execute statistical, mathematical, economic, and financial models for business decision making in all areas of mortgage finance business.
KEY JOB FUNCTIONS
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.
Identify opportunities to apply quantitative methods to improve business performance
Ensure modeling projects are conducted in accordance with established company policies and generally-accepted modeling practices
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 individuals from various backgrounds
Collaborate effectively, work as part of a team and across organizational lines to develop and implement solutions to meet business needs; Serve as project lead
Work autonomously guiding teams, choosing projects, and often act as SME resource across departments or as an in-house-expert
SPECIALIZED KNOWLEDGE & SKILLS
Expert knowledge of machine learning methods and hands-on experience in applying various methods in data assessment, model development, outcome analysis, and model validation, with demonstrable awareness of interpretability of opaque relationships, computational intensive analytics, and dynamic model structure.
Proficiency with programming languages such as Python, Java, R, and C . Experience with ML implementation libraries and frameworks such as NumPy, Scikit-learn, Tensor Flow, CNTK, Theano, and Spark. Experience with ML deployment on High Performance / Cloud platforms such as Amazon/Google/Azure.
Familiarity with statistical analysis tool such as SAS and Matlab and strong database skills SQL/Oracle.
Post-graduate level knowledge of statistics, economics, and finance and familiarity with financial and behavioral modeling in areas of capital markets and mortgage finance.
Excellent writing, presentation, and inter-personal communication skills
Ability to design and manage complex tasks with high level of autonomy, and provide technical guidance and coaching to junior staff.
Must be self-motivated to gain business/institutional knowledge and learn new modeling techniques.
Experience with model risk management a plus.
As a condition of employment with Fannie Mae, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation.
Fannie Mae is an Equal Opportunity Employer.