Senior Financial Engineer – Capital Markets

Fannie Mae

. Develop and enhance data and analytics solutions supporting Treasury Capital Markets P&L, capital, and return-on-equity reporting .

Posted 9/17/2026full-timeWashington • Virginia • United StatesSenior💰 $109,000 - $142,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and enhancing data and analytics solutions using Python and SQL, with a strong focus on financial datasets and reporting. Proficient in building Tableau dashboards and collaborating with cross-functional teams to translate complex data into actionable insights.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyTableau Dashboard DevelopmentData Quality ControlFinancial Analytics

ATS Keywords

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Hard Skills

Data Pipeline DevelopmentETL ProcessesData TransformationStatistical Analysis with RQuery Optimization

Soft Skills

CollaborationCuriosityAdaptabilityCommunication

Tools & Technologies

TableauAWSRedshiftAPIsCloud-Based Analytics

Industry Keywords

Capital MarketsP&L ReportingReturn on EquityMortgage FinanceFunds Transfer Pricing

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Develop and enhance data and analytics solutions supporting Treasury Capital Markets P&L, capital, and return-on-equity reporting
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 explaining 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

Requirements

What you’ll need

Minimum 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 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 level degree 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
Proximity within a reasonable commute to the designated office location is preferred unless the job is noted as open to remote

Benefits

Comp & perks

Participation in a Fannie Mae incentive program, subject to program terms
Comprehensive benefits package including Health, Life, Voluntary Lifestyle, and other benefits and perks
Reasonable accommodations for qualified individuals with disabilities
Flexible work arrangements associated with the Flex remote type