Summer Associate Internship (Product Strategist - Student Loans)
Navy Federal Credit UnionAbout the role
The Education Lending Products team is responsible for the strategy, growth, profitability, and member experience of Navy Federal’s Education Lending portfolio. The team identifies market opportunities, develops product enhancements, manages the product roadmap, and partners across analytics, operations, marketing, compliance, and technology to deliver business results.
Using data-driven insights and competitive analysis, the team drives initiatives that improve portfolio performance, member acquisition, retention, and satisfaction. The team also leads strategic planning, business case development, and execution of key initiatives that ensure Education Lending products remain competitive and aligned with member needs and organizational objectives.
The Summer Associate will have the opportunity to develop a business case and strategic recommendation for expanding Navy Federal’s Education Lending product offerings through the introduction of new student loan offerings for trade schools, certificate programs, or parent borrowers - including market opportunity, financial impact, competitive positioning, and implementation considerations.
The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.
RESPONSIBILITIES
- Conduct Competitive & Market Research: Monitor competitor offerings, industry
trends, and regulatory developments to ensure Education Lending products remain competitive and well-positioned
- Build Business Cases & Recommendations: Translate research and analysis into
actionable recommendations, financial assessments, and executive-ready business cases
- Influence Stakeholder Decisions: Present data-driven insig