Quantitative Model Analyst, Mortgage Modeling

US Bank

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hopkins, MNMinneapolis, MNSaint Louis, MOEarth City, MO
Salary
$92,820–$109,200 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Closes
Nov 17, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $101k
$78k $229k
below market most similar roles pay here above market

This role pays less than 93% of similar roles. Most pay $122,275–$214,000 — the blue band above. At the midpoint, this role pays about $101k versus about $168k 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 47 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, Mortgage Modeling

The Quantitative Model Analyst - Mortgage Modeling performs all phases of large complex model development, validation, and performance management for various projects. Working with the mortgage modeling team, the incumbent handles data aggregation, model design, selection, testing, documentation, and implementation. The role requires a strong statistical modeling background to address mortgage industry problems, specifically regarding mortgage servicing rights valuation, market risk hedging, and primary mortgage rate generation. Key responsibilities include modeling mortgage prepayments and delinquencies while managing quantitative risk factors like duration and convexity. Candidates must utilize SAS, R, Python, VBA, and C++ to execute regression techniques, parametric and non-parametric algorithms, and time series techniques like ARIMA and GARCH. The position demands high-level presentation skills to interact with senior managers and internal or external oversight regarding regulatory trends.

What you'll do

  • Perform all phases of large complex model development, validation, and performance management.
  • Execute data aggregation, model design, model selection, testing, and documentation for various projects.
  • Implement and execute models using statistical packages like SAS, R, or Python.
  • Analyze mortgage prepayments, delinquencies, and market risk hedging factors.
  • Present complex technical findings and model results to senior management.
  • Manage project lifecycles independently with limited management direction.
  • Ensure compliance with applicable laws, regulations, and regulatory trends affecting the mortgage industry.

What we're looking for

  • Must have a Bachelor’s degree in a quantitative field and three or more years of relevant experience.
  • Must have an MA/MS in a quantitative field and less than three years of related experience.
  • Must have a strong statistical modeling background based on technical training or advanced education in a quantitative field.
  • Must possess effective interpersonal, written, and verbal communication skills.
  • Must be able to work from a U.S. Bank location three or more days per week.
  • Knowledge of regression techniques, parametric/non-parametric algorithms, and time series techniques using SAS, R, or similar packages (preferred).
  • Experience with data compilation and programming skills in Python, VBA, and C++ (preferred).
  • Knowledge of mortgage industry specifics, risk factors, and regulatory trends (preferred).

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