Quantitative Manager at U.S. Bank leading transformation initiatives in Credit Risk Model Operations. Involves designing systems and processes for model development and performance monitoring.
Responsibilities
Lead transformation initiatives within the Credit Risk Model Operations and Strategy team
Design systems and processes for model development, production, monitoring, and implementation
Build repeatable, standardized processes and tools for model development
Develop scalable tools to onboard models into production
Execute models for core production purposes
Automate systems to track and assess model performance
Integrate and pipeline dashboards and formatted output delivery
Requirements
Bachelor’s degree (MA/MS/PhD strongly preferred) and eight or more years of relevant experience
Four or more years of experience leading a quantitative modeling team
Python and SAS programming
Automation using Bash/shell scripting and orchestration tools like Apache Airflow
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)
AI/ML and generative AI approaches
Microsoft Power Automate / Power Apps
PowerBI or other visualization dashboards
Benefits
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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