U.S. Bank is looking to solve complex problems in the financial industry through quantitative research, development, and validation.
Requirements
- Basic understanding of modeling and validation techniques in varying disciplines
- 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
Responsibilities
- 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
Other
- 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
- Ability to start the 10-week internship program on June 1, 2026
- Strong written and verbal communication skills
- Ability to think and work independently within a professional setting
- Highly organized and motivated; ability to manage and prioritize multiple tasks and deadlines simultaneously
