U.S. Bank Quantitative Modeler in CHICAGO, Illinois
At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
Credit Risk Analytics is responsible for the development of models to estimate credit losses for multiple portfolios. The portfolios include Commercial &Industrial, Commercial Real Estate and small business products. Credit risk models are used for the Bank’s CCAR/DFAST stress testing process.
The incumbent will be part of the team of quantitative analysts responsible for the development of stress testing models for the Bank’s loan and lease portfolios. Responsibilities include creating, implementing, and supporting complex statistical or econometric models for credit risk that inform and support decisions for Credit, Finance, and Treasury related to loss forecasting.
Explore What's Possible
Bachelor’s degree and 5-7 years of applicable experience or an advanced degree (Master's or Ph.D.) with 2-5 years of experience
Degree in a quantitative discipline (e.g. Economics, Finance, Mathematics, Statistics, Physics)
Experience in a quantitative analysis or development role for a bank or finance company
Extensive hands-on data analysis and statistical modeling experience with large data sets
Experience using programming languages commonly used in model development, such as SAS, Matlab, R, and Microsoft Excel, and database languages (e.g. SQL)
Ability to synthesize in depth analysis into reports for presentation to management to aid in making decisions
General finance, banking, and accounting knowledge
Knowledge of credit risk management, stress testing, and economic capital concepts
Demonstrated ability to work efficiently and independently
Strong background and practical experience in statistical or econometric modeling, model validation, Basel II requirements, and CCAR or DFAST stress testing methodologies is preferred.
Experience in macroeconomic forecasting, credit risk forecasting and incorporating macroeconomic variables in credit risk models is highly valued
Knowledge of metrics involved in credit decisioning, such as a credit score, loan-to-value, debt service coverage ratio, etc.
Experience working on multidisciplinary development teams
Ability to build strong relationships with peers, line of business managers and colleagues across the Bank
Superior oral and written communication skills (esp. the ability to explain complex ideas in simple, non-technical language)
Job: Accounting / Finance
Primary Location: IL-IL-Chicago
Shift: 1st - Daytime
Average Hours Per Week: 40
Requisition ID: 160043052