Senior Quantitative Model Analyst, Wholesale Modeling

US Bank

Confirmed live yesterday High trust
Closes in 4 days

Quick summary

Work type
On-site
Location
New York, NYAtlanta, GAMinneapolis, MNCharlotte, NC
Salary
$148,495–$174,700 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Sep 15, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $160k
This role $162k
$115k most similar roles pay here $205k

This role pays more than 54% of similar roles. Most pay $124,150–$196,375 — the shaded band above. At the midpoint, this role pays about $162k versus about $160k 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 30 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 29 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

Senior Quantitative Model Analyst - Wholesale Modeling joins the Model Development & Decision Science team within Credit Risk Administration. This role focuses on developing, maintaining, and monitoring expected loss forecasting models for a Commercial & Industrial portfolio to support CECL, CCAR, and internal risk management requirements. The successful candidate will perform data preparation, execute exploratory analyses, and document results while collaborating with stakeholders in finance, model validation, and audit. Day-to-day responsibilities include designing model development plans, performing quality checks on datasets, and creating performance metrics for regulatory reporting. Required skills include proficiency in Python, R, SAS, or SQL to perform quantitative analysis and predictive modeling. The role requires a candidate capable of navigating a regulated environment by providing reproducible code and clear documentation while managing complex data definitions and portfolio attributes within the credit risk domain.

What you'll do

  • Develop model plans including design, methodology, selection, testing, benchmarking, and documentation under senior guidance.
  • Compile datasets, perform quality checks, and conduct exploratory analysis to support model development and monitoring.
  • Partner with business and risk stakeholders to define data attributes and document reporting requirements.
  • Prepare routine performance metrics and flag data or performance issues for follow-up.
  • Create exhibits, tables, and written summaries for governance, validation, and regulatory materials.
  • Identify opportunities to streamline data pulls, reporting, and repeatable analyses using existing tools.

What we're looking for

  • Bachelor's degree in a quantitative field with relevant experience.
  • Master's or MS in a quantitative field with related experience.
  • PhD in a quantitative field with 5+ years of related experience.
  • Proficiency in at least one programming or analytics tool such as Python, R, SAS, or SQL.
  • Experience supporting quantitative analysis and basic predictive modeling.
  • Strong written and verbal communication skills to document work and summarize results for various stakeholders.
  • Ability to work within a controlled environment following defined governance, risk management, and audit standards.
  • Proficiency in Microsoft Excel and PowerPoint to create reports and clear exhibits.

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