Quantitative Model Analyst, Wholesale Modeling

US Bank

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYMinneapolis, MNCharlotte, NC
Salary
$132,260–$155,600 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Nov 24, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $152k
This role $144k
$105k $196k
below market most similar roles pay here above market

This role pays less than 51% of similar roles. Most pay $117,000–$187,500 — the blue band above. At the midpoint, this role pays about $144k versus about $152k 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 28 roles with salary data.

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At a glance

TL;DR · Quantitative Model Analyst, Wholesale Modeling

The Quantitative Model Analyst - Wholesale Modeling will join the Model Development & Decision Science team within Credit Risk Administration. This role supports the development, maintenance, and monitoring of expected loss forecasting models for the Commercial & Industrial portfolio to meet CECL, CCAR, and internal risk management requirements. Key responsibilities include preparing data, running exploratory analyses, designing model development plans, and documenting results for governance and audit purposes. The successful candidate will utilize Python, R, SAS, and SQL to perform quantitative analysis and predictive modeling. Core competencies include strong attention to detail, clear communication of technical results, and the ability to work within a regulated environment. The position involves solving complex credit risk problems, including probability of default and loss given default, while ensuring reproducible code and high-quality reporting.

What you'll do

  • Design model development plans including methodology, selection, testing, benchmarking, and documentation.
  • Compile datasets and perform quality checks to support model development and monitoring.
  • Run standard exploratory analyses and quantitative analyses to support expected loss forecasting.
  • Partner with business and risk stakeholders to define data attributes and reporting needs.
  • Prepare routine performance metrics and summaries while flagging data or performance issues.
  • Create exhibits, tables, and written summaries for governance, validation, and regulatory materials.
  • Identify opportunities to streamline data pulls and reporting using existing tools and procedures.
  • Write clean, well-documented code using tools such as Python, R, SAS, or SQL.

What we're looking for

  • Bachelor’s degree in a quantitative field with eight or more years of relevant experience.
  • MA/MS in a quantitative field with five or more years of related experience.
  • PhD in a quantitative field with four or more years of related experience.
  • Experience supporting quantitative analysis and basic predictive modeling.
  • Working knowledge of common analytics tools such as Python, R, SAS, or SQL.
  • Clear written and verbal communication skills to document work and summarize results.
  • Ability to work with defined controls, review processes, and documentation standards.
  • Master or Ph.D degree in a quantitative or related field (preferred).

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