Quantitative Model Analyst – Cash Flow Modeling

U.S. Bank

. Lead initiatives related to model implementation and infrastructure development, supporting key decision-making processes across Corporate Treasury.

Posted 5/20/2026full-timeMinneapolis • Minnesota, Montana, North Carolina, Ohio • 🇺🇸 United StatesSeniorLead💰 $119,765 - $140,900 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesPythonSQL

About the role

Key responsibilities & impact

Lead initiatives related to model implementation and infrastructure development, supporting key decision-making processes across Corporate Treasury.
Research, design, deployment, and maintenance of an efficient forecasting platform.
Implementation and operationalization of advanced statistical models to support balance sheet forecasting and risk analytics.
Collaborate with other strategy and risk management groups such as Asset Liability Management and Capital & Liquidity Risk Management, as well as the Finance Data team.

Requirements

What you’ll need

Bachelor’s degree in a quantitative field, and eight or more years of relevant experience OR
MA/MS in a quantitative field, and five or more years of related experience OR
PhD in a quantitative field, and four or more years of related experience
Experience leading quantitative teams, strong understanding of predictive modeling techniques, and familiarity with balance sheet data at large regulated financial institutions.
Strong technology background including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools.
Exceptional communication skills and ability to drive transformation initiatives that span multiple teams and stakeholders.
A mindset for curiosity, collaboration, customer centricity, and risk management.
Strong familiarity with balance sheet modeling and cash flow forecasting.
Deep understanding of banking, financial metrics, and asset & liability management.
Knowledge of banking regulation and requirements for stress testing.
Experience working with QRM.
Ability to build strong relationships with a wide range of individuals from finance, risk, model validation, technology, and regulators.
Strong analytical and problem solving skills, coupled with thoroughness and attention to detail.
Ability to prioritize work, meet deadlines, work under pressure and independently while balancing multiple priorities in a dynamic and complex environment.
Strong analytical, organizational, problem-solving, and project-management skills.
Experience working with large datasets and building or validating advanced statistical models (including regression and economic factor models)
Extensive programming experience in Python, familiar with profiling and performance optimization techniques.
Experience with MS Word, Excel, and PowerPoint.
Relational databases, SQL query optimization.
Code management and version control using Git.
Cloud-based solution deployment (AWS or Azure) and containerization/orchestration tools (e.g. Docker, Kubernetes).

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

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Hard Skills & Tools

predictive modeling techniquesbalance sheet modelingcash flow forecastingadvanced statistical modelsprogramming in PythonSQL query optimizationstatistical modelingdata analysisautomation toolscloud-based tools

Soft Skills

communication skillscollaborationcustomer centricityrisk managementanalytical skillsproblem-solving skillsorganizational skillsproject management skillsattention to detailability to prioritize work