Credit Risk Modeling Intern (ECM)

Description Credit One Bank Summer Internship Program Intern Title: Credit Risk Modeling Intern (ECM)

Audience: Undergraduate Students Only

Department: Risk Analytics – Existing Customer Management

Position Summary Credit One Bank is seeking a Credit Risk Modeling Intern for the Existing Customer Management (ECM) department. The intern will apply data science techniques in various projects involving optimization decisions in ECM. The candidate is expected to apply state-of-the-art techniques in data science to business problems and provide insightful understanding of the nuances involving credit risk and optimizing the efficiencies of programs like credit line increase offers, convenience checks, etc.

Position Requirements

• Undergraduate Junior (entering junior year) or Senior (must have one semester/quarter remaining).
• Majoring in Applied Mathematics, Data Science, Information Sciences, Statistics, or a related field.
• Minimum cumulative GPA of 3.0.
• Fluent with SQL/SAS, Python.
• Possesses a solid foundational understanding of standard Machine Learning models like Linear Regression, Logistic Regression, Decision Tree and being able to apply these models in any platform, preferably Python-based platforms.
• Basic working knowledge of Deep Learning models and AI tools.
• Present in Las Vegas, NV, for the Summer Internship Program: June 8, 2026 — August 14, 2026 (10-weeks at 40 hours a week).

Summary Of Essential Job Functions

• Performs modeling and complex analyses to maximize profits and asset returns while minimizing credit losses and other risk exposures.
• Engages with model users and stakeholders to deliver incremental value and bespoke solutions.
• Conducts live testing of strategies, models, and data attributes to evaluate benefits and propose changes to credit policy.
• Apply current industry best practices in testing and data analysis to business problems in Existing Customer Management (ECM).

Program Dates June 8, 2026 – August 14, 2026

Program Goals And Objectives

• Develop effective Credit Risk Models using best industry practices involving model building.
• Propose efficient business strategies doing thorough analysis and research on the usage data of our customers.
• Learn about the nuances of data science models and how these are being used efficiently in solving pressing business needs.