Senior Financial Engineer - Capital Markets

The Fannie Mae; Washington; On-site; USD 109,000 - 142,000; Full time

Job summary

Fannie Mae is seeking a Senior Financial Engineer - Capital Markets to develop and enhance data and analytics solutions supporting P&L, capital, and ROE reporting. You will build Python/SQL pipelines, automate validation, and create production-ready analytics with Tableau dashboards.

You will collaborate with Finance, Treasury, Risk, and Technology to translate requirements into scalable designs, improve data quality, and deliver reliable performance for large financial datasets.

Qualifications

• 2+ years of experience developing data, analytics, automation, or reporting solutions in a finance, risk, or capital markets environment.
• Strong proficiency in SQL with complex joins, aggregations, and large datasets.
• Hands-on Python for data analysis, automation, ETL, validation, or analytical app development.
• Experience developing and supporting Tableau dashboards with data validation and performance tuning.
• Familiarity with software development practices: version control, modular code, documentation, testing, peer review, and controlled releases.
• Interest in applying new technologies, including AI, to reimagine workflows.

Responsibilities

• Design, develop, and maintain Python- and SQL-based data pipelines and automated validation routines for large financial datasets.
• Translate reporting needs into technical designs, data models, and reusable solutions with Finance and Technology teams.
• Build and enhance Tableau dashboards and analytical views explaining P&L, ROE, funding cost, and capital metrics.
• Develop production-ready analytical code including data transformations, reconciliations, and scenario analysis.
• Translate complex data findings into clear visualizations and documentation for technical and non-technical audiences.
• Collaborate with data engineers and SMEs to troubleshoot data issues and optimize queries for performance.
• Conduct code reviews, testing, release validation, and production support for internal tools and dashboards.

Skills

SQL proficiency

Python for data analysis

Tableau dashboards

Data pipelines

Code reviews

ETL

Data quality checks

Problem solving

Education

Bachelor's Degree

Tools

AWS

Redshift

APIs

ETL frameworks

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 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.

Desired Experiences:

• - 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

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