Financial Engineer Manager
Washington , District of Columbia
December 17, 2017

Are you interested in helping solve today's most critical housing challenges? In simplest terms, Fannie Mae serves the people who house America. We work at the heart of housing by providing reliable, affordable mortgage financing in all markets at all times, buying loans that banks and other lenders originate, so they can fund new loans. This gives more people the opportunity to buy, refinance, or rent homes and apartments. Creating these opportunities is what drives the people who work at Fannie Mae.

For more information about Fannie Mae, visit .


Manage a unit of Engineers who use advanced mathematical, analytical, or econometric tools to create algorithms that will be used in analytical or product development processes. Using these tools, develop or refine computer applications that provide deeper analysis of prospective asset performance, asset pricing, new asset classes, or information needed to measure or hedge risk. Provide ongoing analysis of new products or asset classes, and suggest program modifications as necessary. May test applications for accuracy and functionality before putting them into service.

  • Assign staff to confer with product managers, marketing staff, capital market staff, or business unit management to determine analytical or product-related needs regarding investment instrument, market activity, or complex transaction to be analyzed.
  • Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction, market activity, or investment vehicle that has multiple variables affecting potential outcomes.
  • Report in quantitative manner on parameters of proposed purchase, sale, marketing action, structure of transaction or market activity, or risk factors and the degree to which they could affect outcomes.
  • Assign self or staff to participate with product management, treasury, or capital markets staff in exercises to value derivatives or other complex products, or to revise models used to perform these valuations.
  • Perform loss forecast analysis and reporting; perform ongoing ad hoc model development and analysis for specific clients needing high level quantitative analysis of credit risk, product valuation, asset analysis, and the like.
  • Design test cases and test applications for systems used for a variety of analytical, pricing, risk management or credit pricing to ensure the business needs are met and analytics are correctly implemented.
  • Redefine and implement the components of new risk indicators. Consult with the business owners, design and implement an interface to record key indicators, research industry best practices of analyzing and reporting key performance indicators.
  • Provide technical guidance or consultation to less senior staff. Serve as technical lead on projects or assign other unit staff to projects to develop more refined analytical applications used in pricing, valuation, risk assessment, and the like.

  • Bachelor's Degree or equivalent required
  • 6 years of related experience
  • Master's degree or higher in a technical discipline such as Engineering, Computer Science, Finance, Physics, Statistics, or other related discipline, and 12 years of related work experience is preferred
  • Technical
    • Strong programming ability in Java and at least one of C/C , Java, R, or Python
    • Experience with large scale web application architecture using J2EE
    • Strong command of UNIX shell scripting and Oracle/Netezza Databases
    • Ability to communicate technical design solutions to audiences at various levels of the organization
    • Understanding of probability, statistical inference, and numerical analysis
    • Experience with credit risk models, structured finance, valuation and pricing and credit risk transfer vehicles preferred
    • Excitement to develop enterprise scale applications that work with huge data sets and solve hard business challenges
  • Non-Technical
    • Creative and self-motivated; excellent analytic and problem-solving skills
    • Ability to motivate and lead a team with a diverse set of skills
    • Ability to develop proficiency in new skills rapidly
    • Strong technical writing and communication skills
    • Excellent interpersonal skills and team player mentality
    • Ability to thrive in a fast changing environment

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.

A little about us:
We’re leading the way to provide safe, affordable, and reliable credit, so people across the U.S. have opportunities to buy, refinance, or rent homes.

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