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Added 2 mins ago
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Fannie Mae

Capital Markets Financial Engineer - Advisor

Washington, DC, United States
Reston, VA, United States
Plano, TX, United States

$141,000 to $184,000 USD / year

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Job details

Pay: $141,000 to $184,000 USD / year
Experience: 6 years of relevant professional experience in financial analysis, financial engineering, quantitative analysis, or a related discipline.
Posting language: English
Posted: Nov 3, 2026

Original job description

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.

Job Description

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 IMPACT YOU WILL MAKE

The Capital Markets Financial Engineer - 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. Key responsibilities include:

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

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

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

Desired Experiences:

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

Target Pay Range: $141,000.00 - 184,000.00 a year

Internal Job Title: Capital Markets CFO - Financial Engineering - Advisor

Qualifications

Education:

Bachelor's Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

141000to 184000

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More about this job

Skills

Financial engineering
Develop models
IMPACT
Leadership
Python
R
SAS
Financial analysis
Forecasting
Decision making
Adaptability
Collaboration
Programming languages
CFA
CPA
Statistics

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