Summer Associate Internship

The Enterprise Credit Risk team provides independent second-line oversight for all credit union lending activities.  The department is responsible for ensuring all lending products operate within the organization’s lending risk appetite by providing credit challenge to the first line risk strategy team and business units that originate and manage credit exposure to members of the credit union.  In addition, the department ensures credit risk is effectively managed through independent reporting, analysis, and modeling efforts.  This independence is part of a critical system of checks and balances to ensure the credit union does not take excessive risk while in pursuit of growth or other financial goals.

This role will be a member of the Credit Risk Analytics, Modeling, and Monitoring team which provides the Enterprise Credit Risk department with all data, analytics, and modeling needs.  The purpose of the team is to provide leadership with the best information possible to make empirically informed business decisions. 

The Summer Associate will work out of our headquarter office in Vienna, VA alongside seasoned risk professional across multiple consumer lending products including Credit Card, Auto, and Real Estate Lending.  Projects will include multiple phases of the analytical life cycle including data extraction and manipulation, data visualization and automation, and decision science analytics.  Projects will be tailored to each Summer Associate’s education and experience level.  In addition to day-to-day activities and longer-term project work, the summer associate will receive formal training in credit risk management to enhance their learning and accelerate their ability to contribute to the team in a meaningful way.

The Summer Associate Program is a 12-week internship program beginning in May 2026 and ending in August 2026. 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 2026 or later.

• Currently pursuing a bachelor’s or graduate degree in a related field with a quantitative focus
• Experience with research, analysis, and data manipulation
• Experience using data and analytic tools such as: Excel, SQL, Tableau, PowerBI, SAS, Python, R, or other data manipulation tools 
• Good communication and presentation skills
• Comfort working with large datasets and telling stories with data
• Ability to work independently and think outside of the box
• Strong strategic, critical, and analytical thinking skills
• Basic knowledge of financial services a plus

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

Location: 820 Follin Lane, Vienna, VA 22180 with limited Hybrid flexibility

• Assist in providing data-driven insights by analyzing historical loan performance data, financial statements, and alternative data sources to identify opportunities for enhancing credit risk strategies.
• Conduct routine research and analysis on wholesale credit and counterparty risk, including evaluating the viability of debt issuers, guarantors, and vendors.
• Analyze annual reports, financial metrics, industry trends, and company performance to assess the creditworthiness of debt issuers.
• Assist in the development of challenger loss forecasting models and track performance metrics through monitoring frameworks and reports.
• Evaluate changes in the financial, economic, regulatory, and competitive environment to determine their impact on creditworthiness.
• Participate in root-cause analyses to uncover key performance drivers and suggest improvements.
• Aid in creating and maintaining monitoring reports to track key credit risk indicators (KRIs) and financial performance.
• Collaborate with cross-functional teams, including product, marketing, and finance, to support risk analysis for product and operational strategies.
• Contribute to the preparation of reports for senior management, highlighting emerging risks and key financial insights.
• Present findings to senior analysts and support executive-level communications on credit and financial risk management decisions.
• Communicate analytical insights effectively within the team to support informed decision-making and strategy execution.