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Pricing Financial Engineering Associate Hybrid

2 months ago

Washington, United States Fannie Mae Full time
About the Role

Fannie Mae is seeking a highly skilled Pricing Financial Engineering Associate Hybrid to join our Capital Markets Pricing and Valuation team. As a valued colleague, you will play a critical role in supporting the team in valuing Fannie Mae's Asset and Liability portfolios using financial industry knowledge and advanced tools or techniques.

Key Responsibilities
  • Financial Modeling and Analysis: Assist in creating cash flow models, pricing methodologies, and valuation techniques to support Fannie Mae's fixed-income portfolios and new business initiatives.
  • Market Research and Analysis: Discuss markets and fixed income concepts and trends with internal and external market participants, including Trade Desk, Risk Groups, and Third-party participants.
  • Pricing and Valuation: Execute daily fair-value pricing for the Company's loans, securities, debt, and derivative portfolio for use by the Trade Desks, Risk Management, and Financial Reporting.
  • Research and Development: Research market activity and risk factors that could affect the pricing of the portfolios and execute pricing methodologies and strategies to ensure pricing is consistent with current market environment and reduce operational risk.
  • Documentation and Reporting: Document and report on processing or analyzing large amounts of data efficiently using advanced financial engineering tools and techniques.
  • Financial Analysis and Forecasting: Contribute to financial analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.
  • Model Development and Interpretation: Participate in executing models and/or interpreting model results. Assist with translating the results from the analysis or models for the customer into understandable conclusions.
  • Model Validation and Improvement: Assist model builders to vet new models, suggest changes to existing models, or analyze model performance data.
  • Data and Systems Analysis: Perform data and systems analysis, validation, and regression testing.
Requirements
  • Experience: 1-2 years of relevant experience in fixed income market, trading, portfolio management, securities valuation, or research background.
  • Education: Bachelor's degree or equivalent.
  • Skills: Strong analytical skills and attention to detail, excellent written and oral communication skills, advanced Excel skills, and experience with Bloomberg, Intex, and other valuation tools.