Data Science Principal – Internal Audit

Fannie Mae • Washington, DC

3d • $200,000 - $269,000

About The Position

As a valued contributor and Principal on our Internal Audit Innovation team, you will step into a newly created role designed to revolutionize how we approach internal audits. Leveraging the latest advancements in AI, data science, and predictive analytics, you will drive transformative change - shaping strategies, building innovative models, and implementing sustainable solutions that fundamentally enhance our audit processes and drive deeper assurance insights. Your expertise will be pivotal in redefining how we harness enterprise data, uncover insights, and proactively address risks, making a lasting impact on the organization’s ability to deliver assurance and value. THE IMPACT YOU WILL MAKE The Data Science Principal - Internal Audit 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:

Requirements

• 8 years experience in data science, analytics, or a related field.
• Master’s degree in Data Science, Economics, Math, Statistics, or a similar discipline.
• Experience analyzing large, complex datasets using advanced data mining techniques.
• Ability to collaborate with senior leaders across business, product, and technology groups to align data-driven solutions with strategic goals.
• Expertise in shaping technical strategy and planning for statistical modeling and predictive analytics.
• Proven success in designing and implementing models for risk measurement, financial valuation, decision-making, and business performance.
• Strong communication skills to explain complex concepts to both technical and non-technical audiences, including leadership.
• Proficiency in producing technical documentation, data visualizations, and presentation materials.
• Experience driving process improvement and automation for high-risk, high-complexity initiatives.
• Demonstrated ability to partner effectively with data engineering and data management teams.

Nice To Haves

• PhD in a relevant field or equivalent experience.
• Leadership in predictive analytics and model integration into business applications.
• Familiarity with cutting-edge industry practices in research and product development.
• Expertise in enterprise-level risk and financial modeling.
• Strong mentoring and subject matter leadership in data science within large organizations.

Responsibilities

• Collaborate with senior leaders across business, product, and technology groups to understand business needs and advise on current capabilities, data availability, and alternative uses for highly visible initiatives that have high risk and complexity.
• Inform technical strategy development and planning related to statistical modeling capabilities.
• Support thought leadership on predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
• Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
• Design, build, and deploy analytics and machine learning models to identify anomalies, predict emerging risks, and strengthen audit coverage.
• Develop and maintain data pipelines, ETL, workflows, and automation scripts to support ongoing assurance and continuous control monitoring.
• Perform hands-on data wrangling, feature engineering, and statistical analysis on large complex datasets.
• Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance for products or initiatives.
• Create interactive dashboards and visualization tools to deliver insights directly to the audit teams and leadership techniques.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees