Financial Modeling & Analytics Advisor – Capital Markets

Fannie Mae•Reston, DC

2d•$141,000 - $184,000•Hybrid

About The Position

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. As a valued contributor within the Capital Markets CFO – Financial Engineering team, this role serves as a trusted advisor to teams responsible for applying mathematical models, advanced analytical tools, and financial industry expertise to complex business and financial data. The Advisor partners closely with model developers, analysts, and stakeholders to interpret model outputs, evaluate performance, and translate technical insights into actionable business conclusions. While the role may involve developing models or prototypes, the primary focus is on analysis, interpretation, guidance, and strategic decision support. The Capital Markets CFO - Financial Engineering - Advisor role will give you the opportunity to shape critical financial analyses and provide thought leadership across capital markets initiatives while working in a collaborative, fast‑paced, and team‑oriented environment.

Requirements

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 a willingness to continuously learn new tools, techniques, and business concepts.
Strong collaboration skills and comfort working in a fast‑paced, team‑oriented environment that values partnership across technical and non-technical teams.
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work
Bachelor degree or equivalent

Nice To Haves

Robust financial expertise, preferably gained through experience at a financial institution.
Strong knowledge of capital markets, with exposure to the mortgage or housing finance industry considered a plus.
Proficiency in analytical and programming languages such as Python, R, and SAS.
Advanced credentials are a plus, including: 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 advanced financial engineering tools and programming techniques (e.g., Python, R, SAS).
Partner with internal customers to understand the intended use of financial analyses, forecasts, or models and tailor solutions accordingly.
Apply sophisticated analytical techniques to financial analysis and forecasting, including scenario and sensitivity analysis, stress testing, and attribution analysis.
Execute financial models and critically evaluate model outputs, assumptions, and limitations.
Translate complex analytical and model-driven results into clear, concise, and actionable insights for a broad range of stakeholders, including non-technical audiences.
Serve as a subject-matter advisor to 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 sound financial decision-making.
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work