below marketmost similar roles pay hereabove market
This role pays less than
94%
of similar roles. Most pay
$122,275–$202,885
— the blue band above.
At the midpoint, this role pays about
$94k
versus about
$163k
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
61 open roles
on FindRole.
Listed pay typically runs
$119,765–$140,900
across 41 roles with salary data.
The Quantitative Model Analyst 2 - Loans Modeling joins the Corporate Treasury Quantitative Finance group to build complex statistical models for PPNR forecasting. This role involves a holistic model-building process, including estimating, validating, testing, documenting, implementing, and maintaining macroeconomic forecasting model frameworks. The analyst will develop quantitative methods that link the bank's balance sheet and income statement to the broader macroeconomic environment to provide accurate forecasts of net interest income and non-interest income revenue. Key responsibilities include creating model development documentation, presentations, and reporting code. Required skills include proficiency in Python or similar statistical packages, regression techniques, parametric and non-parametric algorithms, and time series techniques. The position requires a deep understanding of quantitative risk factors, industry risks, and applicable regulatory rules to support financial decision-making processes.
Build complex statistical models for PPNR forecasting within Corporate Treasury.
Estimate, validate, test, document, implement, and maintain macroeconomic forecasting model frameworks.
Develop quantitative models linking the bank's balance sheet and income statement to the macroeconomic environment.
Create model development and validation documentation including presentations, reports, and business requirements.
Write and maintain model and reporting code using Python or similar statistical packages.
Communicate modeling approaches and results to stakeholders across the bank.
Analyze quantitative and qualitative risk factors, industry risks, and competition risks.
What we're looking for
Must have a Bachelor’s degree in a quantitative field and three or more years of relevant experience.
Must have an MA/MS in a quantitative field and less than three years of related experience.
Thorough knowledge of regression techniques, parametric and non-parametric algorithms, time series techniques, and other statistical models (preferred).
Thorough knowledge of various model validation tests/methodologies using Python or similar statistical packages (preferred).
Thorough data compilation, programming, and qualitative analysis skills (preferred).
Thorough knowledge of quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches (preferred).
Advanced understanding of applicable regulatory rules, guidance, or supervisory letters (preferred).
Strong analytical, organizational, problem-solving, negotiation, and project management skills (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