Sr Financial Engineer
Fannie Mae (Washington, Washington DC)

Salary:
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Ref Code:
71794516
Minimum Career Level:
Experienced (Non-Manager)

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FANNIE MAE THE COMPANY
Fannie Mae is a shareholder-owned company with a public mission: to tear down barriers, lower costs, and increase the opportunities for homeownership and affordable rental housing for all Americans. Over our 70-plus year history, Fannie Mae has worked with housing partners to provide low-cost financing for more than 60 million American families to own or rent a home.  For more information about Fannie Mae and our career opportunities, please visit www.fanniemae.com.
 
Build, and direct the building of, analytical business models to support Fannie Mae business requirements.
Business Needs Interact extensively with business users Understand both their stated needs and their real needs Be able to gracefully influence business managers Identify and drive appropriate trade-offs between modeling investments and business requirements Data Understand data sources deeply and thoroughly, including all sources of intrinsic bias Access all data rapidly, able to use whatever tools are appropriate, capable in the management of extremely large data sets Be able to program all required data manipulations and simulations Expert-level mastery of all standard data handling techniques such as outlier handling, recoding, non-linear transformations, and aggregationModeling Expert skills in standard least squares, logistic, and survival models Expert in SAS Knowledgeable in advanced and modern tools such as mixed models, hierarchical models, competing risk models, longitudinal models, and econometric modelsManagement Design and supervise complete model build and model maintenance processes Excite, empower, train, recruit, and mentor entry modelers Build influential presentations and reports, oral and written, for diverse business communities
At least 5 years experience in performing as a statistician or data analyst  with a bachelor’s degree Master’s degree in a high quant modeling field such as statistics, biostatistics, econometrics, operations research, or other similar area required Ph.D. in such a high quant modeling field preferred Expert in at least one common statistical language, strong in SAS, familiar with several more statistical languages Demonstrated expert skills in sophisticated and non-standard statistical modeling in consumer behavior, economics, or finance Superior general problem solving Strong communication skills Ability to manage staff  
COMPENSATION
Fannie Mae’s compensation and benefits package is very competitive. It is designed to help employees meet varying needs throughout their careers and to reward employee’s skills, experience, and potential.
Fannie Mae is an equal employment opportunity employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, or any other protected factor.
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, which may also include a credit check if the position is sensitive in nature.

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