below marketmost similar roles pay hereabove market
This role pays less than
72%
of similar roles. Most pay
$118,550–$204,050
— the blue band above.
At the midpoint, this role pays about
$121k
versus about
$161k
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
46 open roles
on FindRole.
Listed pay typically runs
$119,765–$140,900
across 29 roles with salary data.
The Quantitative Model Validation Analyst joins the Risk Management and Compliance organization to support the Model Risk Management program. This role involves providing independent challenge and validation of macroeconomic forecasting models used in regulatory and business planning processes, including CCAR, CECL, and capital planning. The analyst will perform risk-focused validations by assessing model assumptions, theoretical foundations, estimation techniques, variable selection, and forecasting performance. Key responsibilities include conducting independent testing, benchmarking, back-testing, and sensitivity analysis to evaluate conceptual soundness and regulatory compliance. Required skills include experience in econometric modeling, time-series analysis, stress testing methodologies, and statistical performance evaluation. Candidates should be proficient in Python, SAS, and R programming languages. The role requires communicating complex quantitative concepts to technical and non-technical stakeholders, including regulators and internal audit teams.
Perform independent validation of macroeconomic forecasting models used for regulatory and business planning.
Challenge model assumptions, theoretical foundations, estimation techniques, and variable selection methodologies.
Conduct independent testing, benchmarking, back-testing, and sensitivity analysis to evaluate model performance.
Assess model risks, limitations, uncertainties, and potential sources of forecast error.
Document validation procedures, findings, and conclusions in comprehensive reports for governance committees and executive management.
Interface with regulators and internal audit to explain validation approaches and remediation recommendations.
Communicate complex quantitative concepts to both technical and non-technical audiences.
What we're looking for
Must have a Bachelor’s degree in a quantitative field and five or more years of relevant experience.
Must have an MA/MS in a quantitative field and three or more years of related experience.
Must have a PhD in a quantitative field and less than two years of related experience.
Must possess strong analytical and quantitative skills including experience with econometric modeling, time-series analysis, and macroeconomic forecasting.
Must have experience with stress testing methodologies and statistical model performance evaluation.
Must be able to communicate complex quantitative concepts to both technical and non-technical audiences.
Excellent knowledge in economics, finance, statistics, and mathematics (preferred).
Proficient in Python, SAS, and R programming languages (preferred).
Python
Quantitative Modeling
Market Risk
Capital Markets
Time Series Analysis
Regression
Simulation
VaR
Stress Testing
Derivative Pricing
Risk Analytics
Model Validation
back testing
Sensitivity Analysis