This role pays less than
85%
of similar roles. Most pay
$144,156–$234,150
— the shaded band above.
At the midpoint, this role pays about
$107k
versus about
$189k
for comparable roles.
Based on 240 similar postings.
Employer
About US Bank
U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services
US Bank currently has
30 open roles
on FindRole.
Listed pay typically runs
$119,765–$140,900
across 29 roles with salary data.
The 2027 Quantitative Modeling Rotational Program offers an accelerated learning path for analysts through three ten-month rotations across various quantitative finance and risk groups, including credit risk, market risk, and corporate treasury. Participants will gain hands-on experience creating, implementing, testing, documenting, and using models while conducting validation tests and research to improve modeling tools. The role requires a strong background in statistical modeling, including derivatives pricing, stochastic calculus, econometrics, or machine learning. Candidates should possess proficiency in programming languages such as C++, Python, or R, along with skills in data compilation and qualitative analysis. The work focuses on solving complex problems within the financial industry by applying mathematical and statistical expertise to practical risk management and financial modeling challenges, utilizing regression techniques, time series analysis, and various parametric and non-parametric algorithms.
Create, implement, test, document, and use quantitative models for financial risk management.
Conduct model validation tests and research to improve modeling tools and methodologies.
Rotate through various finance and risk groups including corporate treasury, credit risk, and market risk.
Perform data compilation and programming using languages such as C++, Python, or R.
Apply statistical modeling techniques like machine learning, econometrics, and stochastic calculus to solve complex problems.
Analyze financial data to support decision-making in areas like derivatives pricing and macroeconomics.
What we're looking for
Master’s or PhD degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering/Mathematics, Economics, or another highly quantitative field.
Degree must be obtained by 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.
Strong written and verbal communication skills (preferred).
Ability to think and work independently within a professional setting (preferred).
Strong analytical, problem solving, and critical thinking skills (preferred).
Programming skills in C++, Python, R, or other languages; statistical modeling background; and knowledge of regression techniques (preferred).
Python
C++
SQL
Java
Monte Carlo methods
Differential equations
Linear algebra
Applied probability
Statistics
Generative AI
Data Analysis
Modeling
Software Engineering
Data Management
Quantitative Analytics
Python
C++
SQL
Java
Machine Learning
Generative AI
Monte Carlo Methods
Linear Algebra
Statistics
Data Analysis
Modeling
Risk Management
Differential Equations
Applied Probability