Portfolio Management Analyst Intern [Undergraduate Students]

Credit One Bank Summer Internship Program

Intern Title: Portfolio Management Analyst Intern

Audience: Undergraduate Students Only

Department: Risk – Portfolio Management

Accepting Applications: January 12, 2026 – March 6, 2026

Position Summary

Credit One Bank is looking for a Portfolio Management Analyst Intern to contribute to the bank's strategy by helping to modernize legacy processes, optimize manual workflows, and explore innovative approaches to data management. The intern will apply advanced database modeling, coding, and analytical techniques to improve risk analytics and support the ongoing modernization efforts. We are looking for a highly analytical and driven student who is passionate about leveraging technology and data to strengthen the bank’s risk management and operational efficiency.

Position Requirements:

• Undergraduate Junior (entering junior year) or Senior (must have one semester/quarter remaining).
• Majoring in Computer Science, Data Science, Data Mining, Statistics, Applied Mathematics, Information Systems, or a related field.
• Minimum cumulative GPA of 3.0. 
• Previous experience with Python and SQL. 
• 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:

• Assist in designing and modeling relational and alternative database structures to effectively support risk data requirements.
• Automate manual data processes by strategically rethinking current data models and approaches.
• Support modernization initiatives by applying "out-of-the-box" thinking to test and recommend improvements for existing processes.
• Conduct investigative analysis to evaluate long-term strategic and optimization targets for risk analytics.
• Collaborate with risk analytics teams to translate complex statistical and data science concepts into actionable business insights. 

Program Dates:

June 8, 2026 - August 14, 2026

Program Goals and Objectives:

• Contribute to Database Modernization: Build and document a proof of concept comparing current and alternative database structures to evaluate design trade-offs, performance, and future scalability.
• Optimize Core Risk Processes: Apply data modeling techniques to redesign a major risk process, learning how to improve efficiency by rethinking current approaches.
• Support Modernization Research: Investigate emerging data science and analytical approaches, and recommend how the bank can apply them to Risk Management, providing exposure to modernization strategies.
• Apply Quantitative Analysis to Data Design: Use mathematical and statistical methods to evaluate dataset structures, learning how quantitative insights can guide and refine data architecture.
• Build Communication and Presentation Skills: Present findings and recommendations from a proof of concept to the team, developing the ability to translate technical results into clear business value.