Quantitative Modeling Intern - Build & Validate Models

U.S. Bank; Charlotte (NC); On-site; USD 39,000 - 52,000; Full time

Benefits offered by this job

Healthcare

401(k)

Paid vacation

Holiday opportunities

Parental leave

Sick leave

Job summary

U.S. Bank is offering a 10-week Quantitative Modeling Internship designed to develop foundational skills through on-the-job training, mentorship, and practical project work.

Trainees will engage with model development teams to explore methodologies and document their results. The program emphasizes building technical and business acumen, networking with leaders and peers, and a pathway to a rotational program after graduation, with a strong focus on analytics, programming (C++, Python, R), and

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 2027 or Spring 2028.
• Basic understanding of modeling and validation techniques in varying disciplines
• Ability to start the 10-week internship program on June 7, 2027.

Responsibilities

• 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 cohort-strengthening activities such as social events, volunteer days, and development workshops

Skills

Programming skills

Analytical thinking

Strong communication

Problem solving

Independent work

Education

Master’s or PhD degree in a quantitative field

Tools

C++

Python

R

Job description

U.S. Bank is offering a 10-week Quantitative Modeling Internship designed to develop foundational skills through on-the-job training, mentorship, and practical project work.

Trainees will engage with model development teams to explore methodologies and document their results. The program emphasizes building technical and business acumen, networking with leaders and peers, and a pathway to a rotational program after graduation, with a strong focus on analytics, programming (C++, Python, R), and