Senior Financial Engineer - Capital Markets

Fannie Mae•Reston, DC

2d•$109,000 - $142,000•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 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.

Requirements

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.

Nice To Haves

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.

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.