Head of Credit Model Operations
at US Bank National Association
San Francisco, CA 94104, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 03 May, 2025 | Not Specified | 03 Feb, 2025 | N/A | Azure,Financial Metrics,Mathematics,Git,Data Science,Python,Automation,Project Management Skills,Risk Modeling,Sas Programming,Ead,Stress Testing,Communication Skills,Query Optimization,Version Control,Statistics,Computer Science,Aws | No | No |
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Description:
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
JOB DESCRIPTION
We are seeking a visionary leader to drive transformation on our Model Development and Decision Science (MDDS) team within Credit Risk Administration (CRA). This leader will be responsible for overseeing the evolution of the production & implementation arm of the team into a dynamic Model Operations function supporting the full model lifecycle (from development and deployment to monitoring).
BASIC QUALIFICATIONS
- Master’s Degree or PhD in a quantitative field such as computer science, data science, mathematics, or statistics.
- 10 or more years of experience in a leadership role in model development/implementation, software engineering, or related area.
- Strong familiarity with credit risk modeling and industry-standard approaches (e.g. PD, LGD, EAD).
- Deep understanding of banking, financial metrics, and credit risk management.
- Knowledge of banking regulation and requirements for stress testing and credit reserves.
- Demonstrated success attracting talent, building, and leading teams of model developers or analysts in similarly technical fields.
- Excellent executive presence and verbal and written communication skills.
- Strong analytical, organizational, problem-solving, and project-management skills.
PREFERRED SKILLS
- 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 GenAI approaches.
- Microsoft Power Automate / Power Apps.
- PowerBI or other visualization dashboards.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Responsibilities:
ABOUT THE ROLE
In this role, you will lead a team responsible for implementation, production, and monitoring of credit risk models, as well as the development of solutions to automate and generate insights from the models through reporting and visualization. The models support loan portfolio stress testing (CCAR), the allowance for credit losses (ACL / CECL), counterparty risk, climate risk, and commercial risk rating scorecards. Portfolios cover commercial and industrial, commercial real estate, residential mortgages, credit cards, and other retail portfolios. The ideal candidate will have exceptional leadership experience, a strong background in data science, predictive modeling, and technology, and a strategic vision for the team including next-generation model approaches (e.g. AI/ML, GenAI.)
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That’s why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
- 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 la
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Financial Services
Banking / Insurance
Finance
Graduate
A quantitative field such as computer science data science mathematics or statistics
Proficient
1
San Francisco, CA 94104, USA