Quantitative Model Analyst – Cash Flow Modeling

U.S. Bank

Quantitative Analyst leading model implementation and infrastructure development in U.S. Bank's Treasury Division.

Posted 5/13/2026full-timeCharlotte • Minnesota, North Carolina, Ohio • 🇺🇸 United StatesSeniorLead💰 $111,605 - $131,300 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, deploy, and maintain an efficient forecasting platform
Implement and operationalize advanced statistical models to support balance sheet forecasting and risk analytics

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
Excellent executive presence and verbal and written communication skills
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)
Al/ML and GenAI approaches
Microsoft Power Automate/ Power Apps
PowerBI or other visualization dashboards

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive modeling techniquesbalance sheet modelingcash flow forecastingadvanced statistical modelsprogramming in PythonSQL query optimizationAl/ML approachesGenAI approachesautomation toolsdatabase systems

Soft Skills

exceptional communication skillscuriositycollaborationcustomer centricityrisk managementanalytical skillsproblem-solving skillsorganizational skillsproject-management skillsability to build relationships