Quantitative Model Development Analyst - Credit Modeling

Start free →

Or apply yourself on the official page →

About the role

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 motivated and detail-oriented Model Developer to join our Model Development & Decision Support (MDDS) team. In this role, you will support the development and implementation of expected loss forecasting models for Commercial Real Estate (CRE) and Small Business portfolios, ensuring compliance with CECL, CCAR, and other regulatory requirements.   Job Description In this position, you will contribute to the development of credit risk models for Commercial Real Estate and Small Business portfolios, ensuring alignment with diverse financial and regulatory requirements. You will be responsible for maintaining consistency with the Bank’s risk management policies, procedures, and practices by collaborating with colleagues in credit portfolio risk management, corporate finance, external reporting, model validation, and audit services. You are expected to communicate statistical model functions and predictions to stakeholders to demonstrate effective risk management and compliance as well as to foster integrations of credit risk modeling into business as usual (BAU) activities. You will also support ongoing model performance monitoring, including backtesting review and investigation of unexpected results, as well as wholesale data development and maintenance. Key deliverables include comprehensive written model technical documents, oral and written presentations, as well as fluent programming skills. The ideal candidate is expected to have a good understanding of commercial portfolios and statistical methods, industry experience, excellent communication, and attention to detail as well as a strong background in predictive modeling. Basic Qualifications - Bachelor’s degree in a quantitative field, and five or more years of relevant experience OR - MA/MS in a quantitative field, and three or more years of related experience OR - PhD in a quantitative field, and less than two years of related experience Preferred Skills/Experience • Understanding of banking, financial metrics, and credit risk management • Knowledge of banking regulation and requirements for stress testing and credit reserves. • Effective verbal and written communication skills. • Programming experience in Python and SAS • Experience in building credit models for commercial exposures • Experience working with internal model validation and model risk management • Thorough data compilation, data quality review, and qualitative analysis skills • Strong analytical, organizational, problem-solving, negotiation, and project management skills • Ability to manage multiple tasks across various timelines • Demonstrated independence, teamwork and leadership skills • Code management and version control using Git • Experience with model performance monitoring LOCATION EXPECTATIONS:  This role requires working from a U.S. Bank Location three (3) or more 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 . Benefits:   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

View the official posting →