The Quantitative Finance Forecast & Production (QFFP) team at U.S. Bank’s Corporate Treasury Division is hiring a senior quantitative analyst to lead model implementation and infrastructure development for balance sheet forecasting and risk analytics. This role involves researching, designing, deploying, and maintaining an efficient forecasting platform while collaborating with various internal teams such as Asset Liability Management and Capital & Liquidity Risk Management. The ideal candidate has extensive experience in predictive modeling, software engineering principles, cloud-based tools like AWS or Azure, database systems, and visualization tools. They should possess a Master's Degree or PhD in quantitative fields and have deep knowledge of banking regulations, balance sheet modeling, and financial metrics. Strong programming skills in Python, SQL, and proficiency with Git, Docker, Kubernetes, and PowerBI are essential for this high-impact position within the CFO organization.
Skills
Python
Docker
Kubernetes
AWS
Azure
SQL
Git
PowerBI
Terraform
CI/CD
Prometheus
Grafana
Microsoft Power Automate
Microsoft Power Apps
PostgreSQL
Redis
MongoDB
Apache Spark
Hadoop
Al/ML
GenAI
What you'll do
Lead initiatives for model implementation and infrastructure development within Corporate Treasury.
Design, deploy, and maintain an efficient forecasting platform for balance sheet analytics.
Implement advanced statistical models to support risk management and financial planning.
Collaborate with strategy and risk management groups on quantitative methods and systems.
Develop predictive models using Python and optimize performance through profiling techniques.
Build and validate economic factor models for comprehensive balance sheet simulations.
What we're looking for
Master's Degree or PhD in quantitative fields like finance, engineering, data science, mathematics, or statistics.
4+ years of experience leading model development/implementation or software engineering roles.
Strong familiarity with balance sheet modeling and cash flow forecasting in banking.
Deep understanding of financial metrics, asset & liability management, and banking regulations.
Extensive programming experience in Python, including profiling and performance optimization techniques.
Experience with cloud-based solutions (AWS/Azure) and containerization tools (Docker/Kubernetes).
Excellent communication skills for driving transformation initiatives across multiple teams.
Market check
Salary context
This
$119,765–$140,900
range sits above
44%
of similar postings on FindRole.
Peer median band
$111,200–$163,680
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$119,050–$165,000
Middle half of comparable postings.
Based on 237 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
10 open roles
on FindRole.
Listed pay typically runs
$111,605–$131,300
across 9 roles with salary data.