Quantitative Model Development Analyst - Credit Modeling

U.S. Bank • Charlotte, NC

20h • Hybrid

About The Position

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. 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.

Requirements

• 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.
• Good understanding of commercial portfolios and statistical methods.
• Industry experience.
• Excellent communication skills.
• Attention to detail.
• Strong background in predictive modeling.
• 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.

Nice To Haves

• Understanding of banking, financial metrics, and credit risk management.
• Knowledge of banking regulation and requirements for stress testing and credit reserves.

Responsibilities

• Support the development and implementation of expected loss forecasting models for Commercial Real Estate (CRE) and Small Business portfolios.
• Ensure compliance with CECL, CCAR, and other regulatory requirements.
• Contribute to the development of credit risk models for Commercial Real Estate and Small Business portfolios, ensuring alignment with diverse financial and regulatory requirements.
• Maintain 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.
• Communicate statistical model functions and predictions to stakeholders to demonstrate effective risk management and compliance.
• Foster integrations of credit risk modeling into business as usual (BAU) activities.
• Support ongoing model performance monitoring, including backtesting review and investigation of unexpected results.
• Support wholesale data development and maintenance.
• Produce comprehensive written model technical documents.
• Deliver oral and written presentations.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level