Quantitative Model Analyst, Treasury

US Bank

Confirmed live yesterday High trust
Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC
Salary
$98,175–$115,500 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday
Closes
Oct 29, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $151k
This role $107k
$88k $195k
below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $117,000–$184,431 — the blue band above. At the midpoint, this role pays about $107k versus about $151k 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.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Quantitative Model Analyst, Treasury

Quantitative Model Analyst - Treasury The Quantitative Model Analyst - Treasury joins the Corporate Treasury division to support executive management with accurate balance sheet and net interest income forecasts. This role involves building complex statistical models to position the balance sheet against risk appetite and macroeconomic conditions, such as interest rate changes or capital stress testing. You will develop, test, document, and maintain advanced macroeconomic forecasting model frameworks and balance sheet items. Key responsibilities include communicating modeling approaches to stakeholders and producing documentation like presentations, reports, and code. Required skills include regression techniques, parametric and non-parametric algorithms, time series techniques, and Python programming. You must possess thorough data compilation, qualitative analysis, and risk management skills while navigating regulatory rules to solve critical financial decision-making problems within the treasury's broader forecasting framework.

What you'll do

  • Develop and maintain advanced statistical models for balance sheet forecasting and interest rate risk analysis.
  • Estimate, test, document, and implement macroeconomic forecasting model frameworks.
  • Build complex statistical models to support the bank's financial decision-making process.
  • Communicate modeling approaches and results to stakeholders across the bank.
  • Create model development documentation including presentations, written reports, and business requirements.
  • Write and maintain code for models, reporting, and monitoring procedures.
  • Analyze quantitative and qualitative risk factors including industry and competition risks.

What we're looking for

  • Bachelor’s degree in a quantitative field and five or more years of relevant experience.
  • MA/MS in a quantitative field and three or more years of related experience.
  • PhD in a quantitative field and less than two years of related experience.
  • Thorough knowledge of regression techniques, parametric and non-parametric algorithms, time series techniques, and statistical models (preferred).
  • Thorough data compilation, programming skills, and qualitative analysis skills (preferred).
  • Thorough knowledge of quantitative and qualitative risk factors, industry 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).

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