Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Navy Federal's Internal Audit team is in the midst of an exciting transformational journey to become a best-in-class Audit function! It is our vision to be a preferred advisor to the business by building and cultivating trust through the consistent execution of high-quality and risk-focused audit and advisory work. We're focused on implementing efficient processes, maximizing our use of technology, integrating data analytics into everything we do, and investing in our biggest asset, our people. If this sounds like the type of team you'd like to be a part of, then we want to learn more about you!
Provide independent assurance over data science, machine learning, generative AI, and agentic AI capabilities through audit engagements and technical reviews. Evaluate model, AI and data governance frameworks, lifecycle controls, and oversight effectiveness, including risks associated with model complexity, uncertainty, and operational performance. Lead quantitative analyses that inform risk management activities and serve as a subject matter expert in model design, data-driven experimentation, and scalable analytical solutions. Advise Internal Audit staff, senior management, and business partners on AI/model lifecycle management, data governance, regulatory expectations, and industry practices. Conduct and manage increasingly complex projects with moderate supervision and independent judgment.
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Responsibilities - Leads IA's assessment of the design, development, validation, and implementation of advanced quantitative models, analytics strategies and AI products.
- Ability to evaluate approaches to assess model performance, scalability, robustness, bias, sensitivity, and risk under varying assumptions or operating conditions across model and AI products.
- Partners with cross functional teams to assess management's alignment of quantitative solutions with business objectives, technical feasibility, and implementation priorities.
- Mentors junior team members on modeling techniques, coding practices, documentation standards, and analytical storytelling.
- Develops and advances reusable frameworks, technical standards, and best practices that improve the quality and efficiency of IA quantitative analytics work.
- Communicates complex concepts, tradeoffs, and recommendations to senior stakeholders in a clear, practical, and decision-oriented manner.
- Identifies high value analytical opportunities and defines appropriate methodologies to address complex, ambiguous problems.
Qualifications - Bachelor's degree in analytics, mathematics, statistics, computer science, data science, operations research, economics, finance or the equivalent combination of education, training or experience; Master's/advanced Degree preferred.
- 5+ years of experience in analytics, mathematics, statistics, computer science, data science, operations research, economics, finance.
- Complete knowledge and understanding of business area/specialization.
- Advanced knowledge of quantitative modeling, optimization, statistical inference, machine learning, simulation, or algorithm design.
- Strong programming skills and experience building production quality analytical tools, data pipelines, models, or decision support systems.
- Demonstrated ability to lead complex analyses from problem definition through implementation and stakeholder adoption.
- Strong communication, influence, and consultative problem-solving skills.
Desired Qualifications: - Prior experience independently assessing and challenging model risk management, data governance and AI/Agentic governance within risk management or internal audit environments.
- Understanding of various models and modeling practices used in credit risk management, fraud detection, BSA/AML, operations, treasury & finance, marketing models, etc.
- Deep knowledge and experience with model risk regulatory guidance; e.g., SR 11-7, SR 26-2, ASOP 56, as well as developing AI frameworks including NIST AI Risk Management Framework, and ISO/IEC 42001Artificial Intelligence Management System.
- Knowledge of one or more regulations and frameworks such as CECL, CCAR, BSA/Anti-Money Laundering, ECOA, FCRA, etc.
- Understanding of various models and modeling practices used in credit risk management, fraud detection, BSA/AML, operations, treasury & finance, marketing models, etc.
- Programming, data modeling, simulation, and advanced mathematics
- Familiarity with coding languages such as SQL, R, Python, Hadoop, or SAS.
- Knowledge of AI platforms and data ecosystems supporting machine learning, generative AI, analytics, and LLM-enabled systems, including Microsoft Copilot Studio, Azure AI Foundry, AWS, Databricks and PowerBI.
- Master's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or another quantitative or related field.
Additional InformationHours: - Monday - Friday, 8:00AM - 4:30PM
Locations: - 820 Follin Ln. Vienna, Virginia 22180
- 141 Security Drive Winchester, VA 22602
- 5550 Heritage Oaks Dr. Pensacola, FL 32526
About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at or by calling 1-. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
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