Senior Quantitative Modeling Analyst – Commercial Credit Risk

U.S. Bank

Charlotte (NC)

On-site

USD 157,000 - 192,000

Full time

22 hours ago
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Benefits offered by this job

Healthcare (medical, dental, vision)
401(k) and employer-funded retirement
Paid vacation

Job summary

U.S. Bank is seeking a quantitative specialist to support model development and monitoring within the MDDS team of the Credit Risk Administration. You will prepare data, run analyses, document results, and collaborate with risk, finance, validation, and audit colleagues to produce clear, reproducible code and governance-ready materials.

The role emphasizes regulated environment exposure, strong analytical skills, and the ability to explain results to both technical and non-technical partners.

Qualifications

  • Bachelor’s degree in a quantitative field with extensive experience in analytics.
  • Graduate degrees or Ph.D. are highly regarded for advanced modeling.
  • Proficiency in Python, R, SAS, SQL and data visualization tools.

Responsibilities

  • Support model development for Commercial & Industrial credit risk under guidance.
  • Prepare data, run analyses, and document results for governance and regulatory needs.
  • Collaborate with risk, finance, model validation, and audit teams.
  • Produce clear summaries, exhibits, and reproducible code for reports.

Skills

Quantitative analysis
Python
R
SQL
Data preparation

Education

Bachelor’s degree in a quantitative field
MA/MS in a quantitative field
PhD in a quantitative field

Tools

Python
R
SAS
SQL
Excel
PowerPoint

Job description

U.S. Bank is seeking a quantitative specialist to support model development and monitoring within the MDDS team of the Credit Risk Administration. You will prepare data, run analyses, document results, and collaborate with risk, finance, validation, and audit colleagues to produce clear, reproducible code and governance-ready materials.

The role emphasizes regulated environment exposure, strong analytical skills, and the ability to explain results to both technical and non-technical partners.

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