2026 Quantitative Modeling Summer Intern

2026 Quantitative Modeling Summer Intern  

What you’ll do 

Quantitative Modeling is a dynamic and thriving field that 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, 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 and monitoring existing models 
• 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 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 quantitative degrees with a target graduation date of December 2026 or May 2027  
• Basic understanding of modeling and validation techniques in varying disciplines 
• Ability to start the 10-week internship program on June 1, 2026. 

Preferred qualifications: 

• Strong written and verbal communication skills  
• Ability to think and work independently within a professional setting  
• Strong analytical, problem solving, and critical thinking skills  
• Highly organized and motivated; ability to manage and prioritize multiple tasks and deadlines simultaneously 
• Strong programming skills such as C++, Python, R etc. 
• Data compilation, programming skills and qualitative analysis skills 
• Statistical modeling background based on technical training or advanced education in a quantitative field such as Derivatives Pricing, Probability, Stochastic Calculus, Regressions, Machine learning etc. 
• Knowledge of various regression techniques, parametric and non-parametric algorithms, times series analysis or other statistical approaches, various model validation tests/methodologies 

Working model and hours: 

This role is hybrid. Interns who are in a hybrid role spend three days a week at the listed U.S. Bank location(s), while having flexibility on their work location for the other working days.  

Interns work approximately 40-hours each week during the internship.  

The application process 

If you are interested in applying and learning more, click on the Apply Now icon to submit your application. Most applications will be closed on October 3, 2025. 

Internship benefits 

• Meaningful, hands-on work that impacts the business  
• Networking opportunities with senior leadership, U.S. Bank team members, and interns  
• Potential for a fulltime offer upon graduation into a rotational program