SF CFO - Financial Engineering - Senior Associate

Posted:
2/19/2026, 10:29:22 PM

Location(s):
District of Columbia, United States ⋅ Washington, District of Columbia, United States

Experience Level(s):
Senior

Field(s):
Finance & Banking

Workplace Type:
Hybrid

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 colleague on our team, you will contribute to supporting the team in applying mathematical models, advanced tools or techniques (such as Python and R), and financial industry knowledge to business or financial data, including model results. Your efforts will enable the team to analyze or report on business performance, solve business questions, or inform business decisions. Work may include developing models or prototypes to achieve these goals, but is not the core focus in the role.

THE IMPACT YOU WILL MAKE

 The SF CFO- Financial Engineering- Senior Associate role will offer you the flexibility to make each day your own, while working alongside while working alongside people who care so that you can deliver on the following responsibilities:

  • Collaborate on processing or analyzing large amounts of data efficiently using advanced financial engineering tools and techniques.
  • Determine customer's intended uses for a financial analysis or model.
  • Conduct financial analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.
  • Execute models and/or interpret model results.
  • Translate the results from the analysis or models for the customer into understandable conclusions. Work directly with model builders to vet new models, suggest changes to existing models, or analyze model performance data.
  • Leverage Data Visualization tools (Tableau, PowerBI) to effectively communicate key takeaways to customers.
  • Perform data and systems analysis, validation, and regression testing.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 2 Years
  • Proficient in Excel

Desired Experience

  • Bachelor's Degree

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:

109000

to

142000