2027 Quantitative Modeling Summer Intern

U.S. Bank
Charlotte, North Carolina, United StatesPosted Sep 8, 2026
Finance / Investment Banking

About the role

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

What you’ll do Quantitative Modeling is a dynamic and thriving field that solves real-world problems through quantitative research, development, and validation. Our 10-week paid internship will provide you with foundational experience and skill development through a mix of on-the-job training, practical experience, mentorship, a community of peers and advisors, and a pathway to our full-time Quantitative Modeling Development Program upon graduation.

As a Quantitative Modeling Intern, you’ll

Work regularly with model development teams in researching and vetting quantitative methodologies Get hands-on experience working on creating, validating, testing, and documenting models that impact the business Develop technical and business acumen through training, mentorship, and exposure to senior executives Build a supportive community of peers through a variety of cohort-strengthening activities such as social events, volunteer days, and development workshops Who we’re looking for Are you interested in solving complex problems in the financial industry? If you are a mathematical, statistical, or quantitative pro who’s curious about applying your skills outside of academia, the Quantitative Modeling Internship at U.S. Bank might be right for you!

Basic qualifications

Pursuing a master’s or PhD degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering/Mathematics, Economics, or other highly quant

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