Senior Quantitative Model Analyst - Wholesale Modeling

US Bank

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYAtlanta, GAMinneapolis, MNCharlotte, NC
Salary
$148,495–$174,700 / yr
Posted
1 day ago
Closes
Jul 6, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k
This role $162k
$121k most similar roles pay here $201k

This role pays less than 51% of similar roles. Most pay $128,375–$193,000 — the shaded band above. At the midpoint, this role pays about $162k 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 34 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.

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View all roles at US Bank

At a glance

TL;DR · Senior Quantitative Model Analyst - Wholesale Modeling

Join our Model Development & Decision Science team within Credit Risk Administration as an individual contributor supporting the development and maintenance of expected loss forecasting models for Commercial & Industrial portfolios under regulatory frameworks like CECL and CCAR. You will prepare data, run analyses, document results, and collaborate with stakeholders to ensure clear communication and reproducibility in model governance and validation processes. Key responsibilities include designing model methodologies, performing quality checks on datasets, monitoring performance metrics, and identifying process improvements using tools such as Python, R, SAS, and SQL. This role requires a strong quantitative background, proficiency in analytics tools, and experience with credit risk concepts, making it ideal for someone who excels in a regulated environment and enjoys solving complex problems through data-driven approaches.

What you'll do

  • Design and execute model development plans under guidance of senior developers.
  • Prepare datasets, perform quality checks, and run exploratory analysis for models.
  • Document changes in portfolio attributes or reporting needs with stakeholders.
  • Monitor model performance, prepare routine metrics, and flag issues for follow-up.
  • Assist in preparing governance, validation, and regulatory-related documentation.

What we're looking for

  • Bachelor’s degree in a quantitative field with 10+ years of relevant experience or higher-level degrees with fewer years of experience.
  • Proficiency in at least one programming language (Python, R, SAS) and SQL for data analysis.
  • Strong analytical skills and ability to solve complex problems using statistical techniques.
  • Clear communication skills to document work and summarize results for technical and non-technical stakeholders.
  • Experience working in a regulated environment with knowledge of credit risk concepts and model governance processes.
  • Ability to manage multiple tasks, meet deadlines, and maintain quality in a fast-paced setting.

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