Internal Audit Risk Analyst Lead

Fannie Mae•Washington, DC

1d•$123,000 - $161,000•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. Job Description As a valued colleague on our team, you will design, build, and support scalable analytics and machine learning solutions that strengthen risk identification, audit coverage, and continuous monitoring capabilities. This role blends hands‑on analytics development with structured risk management to ensure solutions are sustainable, explainable, and aligned with approved enterprise architecture and data governance standards. You will lead the development of repeatable data pipelines, prepare and analyze complex datasets, deploy advanced analytics, and partner with audit, data, and technology teams to manage risks associated with expanding analytics and AI capabilities. THE IMPACT YOU WILL MAKE The Internal Audit Risk Analyst Lead role offers the flexibility to make each day your own while working alongside colleagues who care about delivering meaningful, data‑driven assurance. In this role, you will:

Requirements

4 years of relevant experience
Bachelor's Level Degree

Responsibilities

Design and build reusable ETL pipelines to stage, cleanse, and transform data for audit analytics and continuous monitoring
Implement data quality validation checks and monitoring controls to support reliable analytics outcomes
Apply approved architecture patterns when designing analytics and AI solutions supporting audit activities
Develop, validate, and deploy advanced analytics and machine learning solutions that support risk‑based audit objectives.
Design, develop and implement advanced, custom Generative AI solutions designed to drive efficiencies, increased coverage and insights across the Internal Audit process.
Design and guide the implementation of those analytics solutions to ensure scalability, explainability, and compliance with enterprise data governance standards
Partner with audit teams to frame audit hypotheses and co‑design advanced analytics that strengthen risk-based testing and coverage
Maintain visibility into analytics assets, dependencies, and lifecycle considerations to support sustainability and reuse
Ensure analytics outputs are traceable, defensible, and aligned with risk mitigation objectives, including appropriate documentation and control considerations
Lead discussions to identify systemic risks surfaced through data analysis and translate results for audit stakeholders
Assess upstream and downstream integration impacts associated with solutions
Coordinate data onboarding, secure access provisioning, and consumer contracts with relevant stakeholders and partners
Support discussions and efforts focused on scaling analytics solutions across audit use cases, including reuse and deployment considerations