Senior Quantitative Risk Analyst (Internal Audit - Model & AI Governance)

Navy Federal Credit Union; Winchester (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

TalentQuest referral program

Job summary

Navy Federal Credit Union’s Internal Audit team is transforming to become a best-in-class function, delivering independent assurance over data science, machine learning, generative AI, and agentic AI capabilities. You will lead audits of AI models, governance, and lifecycle management, advising senior stakeholders and business partners with practical, data-driven insights.

The role emphasizes developing scalable analytical solutions, mentoring staff, and delivering high-quality audits with

Qualifications

• Bachelor's degree in analytics, mathematics, statistics, computer science, data science, economics, finance or equivalent; Master's preferred.
• 5+ years of experience in analytics, mathematics, statistics, computer science, data science, operations research, economics, finance.
• 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.

Responsibilities

• Leads IA's assessment of design, development, validation, and implementation of advanced quantitative models, analytics strategies and AI products.
• Evaluate approaches to assess model performance, scalability, robustness, bias, sensitivity, and risk under varying conditions across model and AI products.
• Partners with cross-functional teams to align solutions with business objectives, feasibility, and implementation priorities.
• Mentors junior team members on modeling techniques, coding practices, and analytical storytelling.
• Develops reusable frameworks, technical standards, and best practices to improve quality and efficiency.
• Communicates complex concepts and recommendations to senior stakeholders clearly and decisively.
• Identifies high-value analytical opportunities and defines methodologies for complex problems.

Skills

Quantitative modeling

Programming

Communication

Project leadership

Education

Bachelor's degree in analytics/CS/math

Master's degree preferred

Tools

SQL

Python

Hadoop

SAS

PowerBI

Databricks

Azure AI Foundry

Job description

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.

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.

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 Information

Hours:

• 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.* FORTUNE 100 Best Companies to Work For 2026* Yello and WayUp Top 100 Internship Programs 2025* Computerworld Best Places to Work in IT 2026* Most Loved Workplace - America's Top Most Loved Workplaces 2025* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America 2026* Military Times 2025 Best for Vets Employers* Forbes 2026 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2026 Handshake Early Talent Award* Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

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 [e-mail] or by calling 1-888-503-6013. 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.