Quantitative Model Manager

at  US Bank National Association

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

The Quantitative Model Manager will focus on these core areas supporting small business banking products and services by:

Model Development and Maintenance:

• Lead the design and implementation of credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).

• Ensure models align with business needs, regulatory frameworks and industry best practices.

  Validation and Monitoring:

• Oversee the validation of risk models to ensure performance accuracy and reliability.

• Monitor model outcomes and recalibrate as necessary to address changing market conditions.

  Data Analysis and Insights:

• Utilize advanced analytics to interpret credit risk metrics and generate actionable insights for portfolio management.

• Collaborate with data engineering teams to ensure high-quality datasets for modeling.

  Regulatory Compliance:

• Ensure adherence to all relevant regulations and guidelines.

• Prepare documentation and reports for internal audits and regulatory reviews.

  Team Leadership:

• Manage and mentor a team of credit risk analysts and modelers, fostering professional development and technical excellence.

• Coordinate cross-functional projects with stakeholders across risk, finance, and business units.

Stakeholder Engagement:

• Communicate model results, insights, and recommendations effectively to senior management, regulatory bodies, and other stakeholders.

PREFERRED REQUIREMENTS:

• Education: Master’s or Ph.D. in Statistics, Mathematics, Economics, Finance, or a related quantitative discipline.
• Minimum of 5 years in credit risk modeling, management, or related roles.
• Proven track record of leading model development and validation in financial institutions.
• Expertise in programming languages such as SAS, Python or SQL.
• Strong understanding of machine learning and statistical modeling techniques.
• Strong leadership, communication, and project management skills.

BASIC QUALIFICATIONS

• Bachelor’s degree, or equivalent work experience
• Typically, 10 or more years of experience in regulatory compliance activities

THE ROLE IS POSTED AS REMOTE; HOWEVER, CANDIDATES WHO ARE LOCATED NEAR ANY ONE OF OUR LOCATIONS WOULD BE REQUIRED TO WORK ON SITE AT LEAST THREE DAYS PER WEEK.

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.

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