Demo

Senior Data Scientist (Fair Lending Analytics)

Jobs via Dice
Vienna, VA Volunteer
POSTED ON 3/26/2026
AVAILABLE BEFORE 4/23/2026
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.

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission-critical decision making across the organization. Understand business needs and identify opportunities for new products, services, and process optimization through the use of advanced data science techniques.

This role supports risk and compliance-focused analytics, including the evaluation of models, policies, and business practices for potential fair lending and consumer compliance risk. The Senior Data Scientist will conduct descriptive, predictive, and prescriptive analyses to assess outcomes, test assumptions, and identify potential bias, while partnering with stakeholders to support responsible and compliant business decisions.

Conduct work assignments of increasing complexity under moderate supervision with latitude for independent judgment. Intermediate professional within field; requires a moderate to advanced skill set and proficiency in data science and analytics.

Responsibilities

  • Design, develop, and evaluate moderately complex predictive models and advanced algorithms
  • Identify meaningful insights from large, complex data and metadata sources
  • Test hypotheses and models; analyze, interpret, and document results
  • Review input data, assumptions, and outcomes of models and analytical frameworks to assess potential risk and fairness considerations
  • Apply statistical analysis, modeling, and trend analysis to evaluate outcomes and provide actionable insights
  • Develop and code moderately complex software programs, algorithms, and automated analytical processes
  • Create data visualizations, dashboards, charts, and tables that support effective decision-making and risk monitoring
  • Develop understanding of best practices related to model governance, ethical AI, and responsible use of analytics
  • Collaborate with business partners, compliance, legal, and subject-matter experts to support analysis and risk mitigation
  • Provide clear written and verbal communication of analytical findings to technical and non-technical stakeholders, including leadership
  • Lead or contribute to small projects and team initiatives

Qualifications

  • 3-5 years of experience in exploratory data analysis, statistics, or related analytical work
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
  • Programming, data modeling, simulation, and applied mathematics skills
  • Proficiency in SQL, R, Python, SAS, or similar statistical programming languages
  • Experience with model development and lifecycle execution
  • Technical writing and data storytelling skills, with the ability to explain statistical concepts to diverse audiences
  • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI)
  • Working knowledge of procedures, instructions, and validation techniques
  • Ability to collaborate effectively and build working relationships across teams
  • Exercise sound judgment and discretion within defined procedures and practices
  • Problem Solving (Responds as problems and issues are identified)

Desired Qualifications

  • Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
  • Experience supporting compliance, risk, or fair lending analytics in a financial services environment
  • Familiarity with fair lending or consumer protection laws (e.g., ECOA, FHA) and evaluating models or policies for potential bias
  • Experience assessing or validating models, including machine learning models, for fairness or governance considerations

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602

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 2025

Yello and WayUp Top 100 Internship Programs

Computerworld Best Places to Work in IT

Newsweek Most Loved Workplaces

2025 PEOPLE Companies That Care

Newsweek Most Trustworthy Companies in America

Military Times 2025 Best for Vets Employers

Best Companies for Latinos to Work for 2025

Forbes 2025 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

2025 Handshake Early Talent Award

From Fortune . 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited 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 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.

Hourly Wage Estimation for Senior Data Scientist (Fair Lending Analytics) in Vienna, VA
$51.00 to $64.00
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