2027 Quantitative Modeling Rotational Program at U.S. Bank

About the role

Quantitative Modeling is a dynamic and thriving field that solves real-world problems through quantitative research, development, and validation. Our Quantitative Modeling Development Program will provide you with accelerated learning and skill development through a mix of formal training, practical job experience, mentorship, and a community of peers and advisors, throughout three ten-month rotations to prepare you for the demands of today and tomorrow. 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 Rotation Program at U.S. Bank might be right for you!

Responsibilities

• Get hands-on experience with project work creating, implementing, testing, documenting, and using models
• Rotate within our quantitative finance and risk groups (rotation options include model risk management, corporate treasury, credit risk, financial crimes, market risk, macroeconomics, and derivatives).
• Conduct model validation tests/methodologies and research to better understand modeling tools
• 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

Requirements

• Master’s or PhD degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering/Mathematics, Economics, or other highly quantitative degrees obtained December 2026 or Spring 2027
• Basic understanding of modeling and validation techniques in varying disciplines
• Ability to start the development program on July 12, 2027

Skills

• 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, Econometrics, 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

Schedule

This role requires working from a U.S. Bank location three (3) or more days per week, while having flexibility on work location for the other working days.