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This role will be part of a highly visible and dynamic quantitative risk function within U.S. Bank that leads Stress Testing (CCAR) and Current Expected Credit Losses (CECL) estimations. The primary duty of the job is to create, validate, test, document, implement and/or oversee usage of complex statistical models that are used as part of financial decision-making process.
Job Responsibility:
Create, validate, test, document, implement and/or oversee usage of complex statistical models that are used as part of financial decision-making process
Deliverable to regulatory and senior management includes the creation of comprehensive written reports, modeling code, business requirements, monitoring reports and related code, and procedures
Work on a combination of Stress Testing (CCAR) and Credit Expected Credit Losses (CECL) estimations statistical models
Develop, validate risk forecasting models, probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), Net Charge-off (NetCo), and Economic Factor Models
Emphasize complex statistical models under CCAR stress testing guidance and CECL ASU rule
Requires experience with development process, quarterly continuous monitoring process, inaugural validation process, and capital reconciliation process
Requires knowledge of the bank’s reporting data system to complete development/validation data compilation and implementation verification, and experience to manage and track recommendations
Responsible for ensuring models are consistent with the bank’s risk management policies, procedures, and practices by directly interacting with model owners, senior managers such as portfolio risk management, corporate finance, external reporting, audit services, and industry experts
Responsible for delivering and reviewing comprehensive written model technical documents to present outcomes to senior management of related department across the bank and regulatory agencies
Requirements:
Bachelor’s degree in a quantitative field, and five or more years of relevant experience
MA/MS in a quantitative field, and three or more years of related experience
PhD in a quantitative field, and less than two years of related experience
Three plus years of large size commercial bank working experience in risk model validation
Advanced experience of financial statistical modeling methods (Hazard models, Regression models, Decision Tree models, Time Series, Machine Learning, etc.)
Related experience with Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for CCAR and CECL
Working experience in CCAR and CECL estimation for both retail and wholesale portfolios, including portfolio such as Residential Mortgage, Consumer Credit Cards/Lines, Wholesale C&I, Wholesale CRE, and Small Business
Familiar with the bank reporting and data system
Have advanced ability to deal with large data and complete model validation and implementation verification process
Ability to write and enhance automated testing programs for model performance assessment
Advanced degree in quantitative discipline (MS/MA/PHD)
Strong statistical programming skills in Python, SAS, R, SQL
Strong oral and written communication skills, capable of addressing both technical and non-technical audience
Experience interpreting and applying complex financial regulations or accounting standards
Nice to have:
An advanced quantitative field degree (MA/MS or PHD) is required
The role prefers education background to cover both quantitative skills and business or financial knowledge such as Mathematical plus finance degrees, Statistic plus Economics, Scientific Computation, Operational research engineering plus business administration
A programming certification is a plus
What we offer:
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