Overview
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 organizations 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 Associates 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. Responsibilities 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.by Jobble
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