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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing credit risk models in compliance with financial regulations such as CECL and CCAR, while effectively communicating model functions to stakeholders. Proficient in data analysis, model performance monitoring, and maintaining alignment with risk management policies.
Highest-signal resume keywords
Credit Risk ModelingPython ProgrammingSAS ProgrammingModel Performance MonitoringBanking Regulation Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Credit Risk ModelsData Quality ReviewQuantitative AnalysisStatistical Model FunctionsBacktesting ReviewData CompilationModel ValidationProject ManagementVersion ControlFinancial Metrics
Soft Skills
Effective CommunicationAnalytical SkillsOrganizational SkillsProblem-Solving SkillsTeamwork
Tools & Technologies
Git
Industry Keywords
Commercial Real EstateSmall Business PortfoliosStress TestingCredit ReservesRisk Management Policies
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Support development and implementation of expected loss forecasting models for Commercial Real Estate and Small Business portfolios
- Develop credit risk models aligned with financial and regulatory requirements, including CECL and CCAR
- Maintain consistency with the Bank’s risk management policies, procedures, and practices
- Collaborate with credit portfolio risk management, corporate finance, external reporting, model validation, and audit services
- Communicate statistical model functions and predictions to stakeholders
- Integrate credit risk modeling into business-as-usual activities
- Support model performance monitoring, including backtesting review and investigation of unexpected results
- Support wholesale data development and maintenance
- Prepare written model technical documents and oral and written presentations
Requirements
What you’ll need- 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
- 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
- Must work from a U.S. Bank location three or more days per week
- Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies
- Must comply with applicable employment eligibility verification requirements
Benefits
Comp & perks- 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
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution and pension
