Quantitative Model Analyst – Cash Flow Modeling

US Bank

Closes in 3 days Hybrid

Quick summary

Work type: Hybrid
Location: Minneapolis, MNAtlanta, GACincinnati, OHCharlotte, NCSaint Louis, MO
Salary: $119,765–$140,900 / yr
Posted: 11 days ago
Closes: Jun 17, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $147k

This role $130k

$108k most similar roles pay here $183k

This role pays less than 61% of similar roles. Most pay $119,050–$175,362 — the shaded band above. At the midpoint, this role pays about $130k versus about $147k 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 41 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 41 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Quantitative Model Analyst – Cash Flow Modeling

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Join our Quantitative Finance Forecast & Production (QFFP) team as a Senior Quantitative Analyst within Corporate Treasury at U.S. Bank, where you will lead initiatives focused on model implementation and infrastructure development for critical decision-making processes. Your daily tasks will involve researching, designing, deploying, and maintaining an efficient forecasting platform while operationalizing advanced statistical models to support balance sheet forecasting and risk analytics. The role requires expertise in Python programming, cloud-based solutions like AWS or Azure, containerization tools such as Docker, and visualization dashboards including PowerBI. You must have a deep understanding of banking regulations, balance sheet modeling, and financial metrics, along with strong communication skills to collaborate effectively across multiple teams and stakeholders.

Skills

Python AWS Azure Docker Kubernetes SQL Git PowerBI Microsoft Power Automate Microsoft Power Apps CI/CD Terraform Al/ML GenAI Prometheus Grafana

What you'll do

Lead the research and design of advanced statistical models for balance sheet forecasting.
Deploy and maintain an efficient forecasting platform supporting key decision-making processes.
Implement and operationalize predictive modeling techniques for risk analytics and financial planning.
Develop and optimize software solutions using Python, SQL, and cloud-based technologies.
Collaborate with finance, risk management, and technology teams to enhance model accuracy and efficiency.
Ensure compliance with banking regulations through effective stress testing methodologies.

What we're looking for

Master's Degree or PhD in a quantitative field and 4+ years of relevant experience.
Strong background in predictive modeling, balance sheet data analysis, and banking regulations.
Experience leading model development/implementation and software engineering initiatives.
Deep understanding of financial metrics, asset & liability management, and stress testing.
Proficiency in Python programming, SQL query optimization, and cloud-based solutions.
Excellent communication skills and ability to collaborate across multiple teams and stakeholders.