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 develop and enhance data and analytics solutions supporting Treasury Capital Markets P&L, capital, and return-on-equity reporting. You will use Python, SQL, Tableau, and, where appropriate, R to automate data pipelines and controls, build decision-ready dashboards, investigate complex financial data, and partner with Finance and Technology teams to deliver scalable and well-governed solutions.
THE IMPACT YOU WILL MAKE
The Senior Financial Engineer - Capital Markets role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
Design, develop, and maintain Python- and SQL-based data pipelines, analytical utilities, and automated validation routines for large financial datasets.
Partner with Finance, Treasury, Risk, Accounting, and Technology stakeholders to translate reporting and analytical needs into technical designs, data models, and reusable solutions.
Build and enhance Tableau dashboards and analytical views that explain TCM P&L, balance, funding cost, required capital, ROE, and key performance drivers.
Develop prototypes and production-ready analytical code, including data transformations, reconciliations, exception monitoring, and scenario or attribution analysis.
Translate complex data and technical findings into clear visualizations, documentation, and conclusions for technical and non-technical audiences.
Collaborate with application developers, data engineers, and financial subject-matter experts to troubleshoot data issues, optimize queries, and improve platform performance and reliability.
Perform code reviews, unit and regression testing, source-to-target reconciliations, data-quality checks, release validation, and production support for internally developed tools and dashboards.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:2 years of experience developing data, analytics, automation, or reporting solutions in a finance, risk, or capital markets environment.
Strong proficiency in SQL, including complex joins, aggregations, data profiling, query optimization, and working with large datasets.
Hands-on experience using Python for data analysis, automation, ETL, validation, or analytical application development.
Experience developing and supporting Tableau dashboards, including data connections, calculated fields, performance tuning, and validation of data and visual outputs.
Experience with software development practices such as version control, modular code, documentation, testing, peer review, and controlled releases.
Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
Bachelor degree or equivalent in Computer Science, Engineering, Data Science, Analytics, Finance, Financial Engineering, or a related discipline.
Experience with R for statistical analysis, modeling, or data transformation is preferred but not required.
Knowledge of AWS, Redshift, data warehousing, APIs, ETL frameworks, or cloud-based analytics platforms.
Knowledge of accounting P&L, capital markets products, mortgage finance, funds transfer pricing, required capital, or ROE concepts.
Experience implementing data-quality controls, monitoring, reconciliation frameworks, and production support for business-critical reporting.
Capital Markets CFO - Financial Engineering - Senior Associate
Target Pay Range: $109,000 - $142,000 a year
#LI-Hybrid #LI-ME1
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:
109000to
142000Skills Required
- At least 2 years of experience developing data, analytics, automation, or reporting solutions in a finance, risk, or capital markets environment.
- Strong SQL proficiency, including complex joins, aggregations, data profiling, query optimization, and large datasets.
- Hands-on Python experience for data analysis, automation, ETL, validation, or analytical application development.
- Experience developing and supporting Tableau dashboards, including data connections, calculated fields, performance tuning, and validation.
- Experience with software development practices, including version control, modular code, documentation, testing, peer review, and controlled releases.
- Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence.
- Bachelor's degree or equivalent in Computer Science, Engineering, Data Science, Analytics, Finance, Financial Engineering, or a related discipline.
- Experience with R for statistical analysis, modeling, or data transformation.
- Knowledge of AWS, Redshift, data warehousing, APIs, ETL frameworks, or cloud-based analytics platforms.
- Knowledge of accounting P&L, capital markets products, mortgage finance, funds transfer pricing, required capital, or ROE concepts.
- Experience implementing data-quality controls, monitoring, reconciliation frameworks, and production support for business-critical reporting.
Fannie Mae Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fannie Mae and has not been reviewed or approved by Fannie Mae.
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Retirement Support — Employer 401(k) contributions are highlighted as a standout, alongside programs like student‑loan repayment and financial‑wellness resources. These offerings signal strong long‑term savings support.
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Parental & Family Support — Generous paid parental leave, adoption and surrogacy assistance, and backup caregiving options are part of the package. These benefits demonstrate robust support for growing families and caregivers.
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Leave & Time Off Breadth — Generous PTO, sick leave, paid holidays, and paid volunteer time are emphasized. This breadth supports work‑life balance and schedule flexibility.
Fannie Mae Insights
What We Do
Fannie Mae serves the people who house America. We are a leading source of financing for mortgage lenders, providing access to affordable mortgage financing in all markets at all times. Our financing makes sustainable homeownership and workforce rental housing a reality for millions of Americans. We also help make possible the popular 30-year, fixed-rate mortgage, which provides homeowners with stable, predictable mortgage payments over the life of the loan. Our tools and resources help homebuyers, homeowners, and renters understand their housing options. We put our customers and partners at the center of everything we do. We apply our experience and expertise to deliver innovative solutions to help our customers succeed. At Fannie Mae, our people pour their hearts into everything they do. Because we know it makes a real difference in others’ lives. We are committed to moving forward with our partners to build a stronger, safer, more efficient housing finance system. Join us to help shape the future of housing: http://fanniemae.com/careers.









