Capital Markets Financial Engineer - Advisor

Fannie Mae•Reston, DC
•$141,000 - $184,000•Hybrid

About The Position

As a valued contributor on Fannie Mae’s Capital Markets CFO – Financial Engineering team, the Capital Markets Financial Engineer - Advisor provides guidance and decision support on complex financial data and analyses. The role partners with model developers, analysts, internal customers, and other stakeholders to interpret model outputs, evaluate performance, and translate technical findings into actionable business conclusions. Model or prototype development may be involved, but the primary focus is analysis, interpretation, guidance, and strategic decision support. The position applies mathematical models, advanced analytical tools, and financial industry expertise to capital markets initiatives. It also serves as a subject-matter advisor to model builders, helping vet new models, recommend enhancements, and assess model performance and validation results. The role is described as collaborative, fast-paced, and team-oriented. For most roles, employees are expected to work onsite regularly at their designated office; cadence is determined by the manager, and reasonable commuting proximity is preferred unless the job is listed as remote.

Requirements

  • At least 6 years of relevant professional experience in financial analysis, financial engineering, quantitative analysis, or a related discipline.
  • Demonstrated experience building, reviewing, interpreting, and challenging financial or quantitative models.
  • Intellectual curiosity and willingness to continuously learn new tools, techniques, and business concepts.
  • Strong collaboration skills and comfort working in a fast-paced, team-oriented environment with technical and non-technical teams.
  • Bachelor’s degree or equivalent.
  • Required education is listed as a bachelor’s-level degree.

Nice To Haves

  • Robust financial expertise, preferably gained through experience at a financial institution.
  • Strong knowledge of capital markets; exposure to the mortgage or housing finance industry is a plus.
  • Proficiency in analytical and programming languages such as Python, R, and SAS.
  • CFA and/or CPA designation.
  • Master’s degree in Finance, Accounting, Economics, Mathematics, Statistics, or a related field.

Responsibilities

  • Provide guidance on processing, analyzing, and interpreting large and complex financial datasets using financial engineering tools and programming techniques such as Python, R, and SAS.
  • Partner with internal customers to understand the intended use of financial analyses, forecasts, or models and tailor solutions accordingly.
  • Apply analytical techniques to financial analysis and forecasting, including scenario and sensitivity analysis, stress testing, and attribution analysis.
  • Execute financial models and critically evaluate their outputs, assumptions, and limitations.
  • Translate complex analytical and model-driven results into clear, concise, actionable insights for technical and non-technical stakeholders.
  • Advise model builders by vetting new models, recommending enhancements to existing models, and analyzing model performance and validation results.
  • Analyze outputs from data and systems analysis, validation activities, and regression testing to support financial decision-making.
  • Learn and responsibly apply new technologies, including artificial intelligence, to reimagine how work is done.

Benefits

  • Incentive program participation, subject to program terms.
  • Health, Life, Voluntary Lifestyle, and other benefits and perks supporting physical, mental, emotional, and financial well-being.
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