Quantitative Modeling Rotation Analyst

US Bank; Charlotte (NC); Hybrid; USD 98,000 - 116,000; Full time

Benefits offered by this job

Healthcare

401(k) matching

Paid vacation

Job summary

U.S. Bank is offering a Quantitative Modeling Rotation Program Analyst role designed to accelerate your expertise in modeling, validation, and research. You will rotate through model risk management, treasury, credit risk, and other areas while building technical and business acumen.

Ideal candidates are pursuing Master’s or PhD in quantitative fields, with strong programming skills in C++, Python, and R, and a drive to learn from senior leaders through mentoring and collaborative projects.

Qualifications

• Master’s or PhD in statistics, mathematics, physics, engineering, financial engineering/economics or other highly quantitative degrees.
• Basic understanding of modeling and validation techniques in varying disciplines.
• Ability to start the development program on July 12, 2027.
• Strong written and verbal communication skills.
• Ability to think and work independently within a professional setting.

Responsibilities

• Get hands-on experience with project work creating, implementing, testing, documenting, and using models.
• Rotate within our quantitative finance and risk groups across model risk management, 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 cohort-strengthening activities such as social events and development workshops.

Skills

Quantitative modeling

Python

C++

R

Statistical analysis

Problem solving

Education

Master’s or PhD in statistics, mathematics, physics, engineering, financial engineering/economics

Tools

C++

Python

R

SQL

Job description

U.S. Bank is offering a Quantitative Modeling Rotation Program Analyst role designed to accelerate your expertise in modeling, validation, and research. You will rotate through model risk management, treasury, credit risk, and other areas while building technical and business acumen.

Ideal candidates are pursuing Master’s or PhD in quantitative fields, with strong programming skills in C++, Python, and R, and a drive to learn from senior leaders through mentoring and collaborative projects.