Navy Federal Credit Union is a member-owned financial institution serving more than 14 million members, primarily from the Armed Forces, Department of Defense, veteran communities, and their families. As the world’s largest credit union, it provides banking and financial services through a workforce of more than 24,000 employees across campuses and over 360 branches. Its career opportunities support the organization’s mission of delivering high-quality service to its members, with an emphasis on meaningful work experiences and competitive employee benefits.
Senior Data Scientist, Auto Loan Pricing – Navy Federal Credit Union (Hybrid)
Develop predictive models, pricing strategies, and optimization analyses for Navy Federal Credit Union’s auto-lending portfolio. Translate advanced analytics into pricing decisions, experimentation, and portfolio performance improvements.
Description
- Build and assess predictive models and advanced algorithms
- Extract actionable insights from extensive data and metadata using appropriate analytical methods and technologies
- Formulate and evaluate hypotheses, then interpret model and test results
- Create moderately complex software, algorithms, and automated workflows
- Apply modeling and trend analysis to generate business insights
- Develop knowledge of ethical AI principles and industry best practices
- Present data through charts, tables, and other decision-support formats
- Establish effective partnerships with colleagues and subject matter experts
- Manage small projects and business initiatives
- Explain pricing strategies and analytical methods to stakeholders in practical business terms
- Oversee pricing policy governance and portfolio performance through recurring analysis, monitoring, and optimization
- Create and improve Auto Lending pricing frameworks with predictive modeling, advanced analytics, and optimization methods
- Lead pricing experiments and test-and-learn programs focused on borrower behavior and pricing elasticity
- Build Direct and Indirect Auto Lending expertise through competitive research, market intelligence, and bureau data analysis
Requirements
- 3–5 years of experience conducting exploratory data analysis
- Foundational understanding of business operations and the broader operating environment
- Knowledge of statistical concepts and methods
- Proficiency in programming, data modeling, simulation, and advanced mathematics
- Experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, and Databricks
- Understanding of end-to-end model lifecycle execution
- Technical writing ability
- Strong data storytelling and technical presentation skills
- Research capabilities
- Working knowledge of procedures, instructions, and validation methods
- Experience developing models
- Critical-thinking skills
- Self-directed approach supported by sound judgment
- Experience with big data analysis, coding, project management, and technical writing
- Problem-solving ability
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a comparable quantitative discipline
- Must be authorized to work in the United States without current or future sponsorship
Benefits
- Competitive compensation
- Broad benefits and employee perks
- Eligibility for the employee referral program