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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 contributor and Principal on our Internal Audit team, you will coach and mentor others while serving as a subject matter expert in data science. You’ll drive product and initiative success by delivering insights, recommending improvements, and implementing predictive models. Leveraging advanced data mining and analysis skills, you’ll collaborate with data engineering teams to prepare and analyze enterprise data and clearly communicate solutions to both technical and non-technical stakeholders.

*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:

* 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.

*THE EXPERIENCE YOU BRING TO THE TEAM*

*Minimum Required Experiences *

* 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.

*Desired Experiences *

* 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.

Internal Audit - Data Science - Principal

Target Pay Range: $196,000 - $264,000 a year

Qualifications

Education:

Master'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:

196000

to

264000

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].