This role will be part of a highly visible and dynamic quantitative risk function within U.S. Bank that leads credit stress testing, Basel capital allocation and current expected credit losses (CECL) estimation. Responsibilities include developing, validating, documenting, and implementing credit risk forecasting models for the Bank’s Wholesale business products. The analyst is also responsible for ensuring models are consistent with the Bank's risk management policies, procedures and practices by interfacing with staff in credit portfolio risk management, corporate finance, external reporting, as well as model validation and audit services. In addition, the analyst will 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. Key deliverables include comprehensive written model technical documents, oral and written presentations, as well as written and commented code.
- Bachelor's degree in a quantitative field, and five to eight years of experience in statistical modeling OR
- Master's or PhD degree in a quantitative field, and less than five years of experience in statistical modeling
-Experience working with large datasets and building or validating advanced statistical models (e.g. logistic regression, time series models).
-Programming experience in SAS (Base, STAT, and/or Enterprise Guide/Miner)-Proficient in MS office suite products (word, excel and powerpoint.
-Strong analytical and problem solving skills, coupled with thoroughness and attention to detail.
- Ability to build relationships and collaborate with a wide range of individuals across various groups, including risk, finance, model validation, technology, and regulators.
-Strong oral and written communication skills, capable of addressing to both technical and non-technical audience.
-Ability to prioritize work, meet deadlines, work under pressure while balancing multiple priorities in a dynamic and complex environment
-Working knowledge of VBA, SQL, R, or Python is a plus.
-Experience applying Basel A-IRB, CCAR/DFAST, CECL regulatory rules.
-Experience underwriting or managing commercial or retail loans.
-Experience working with financial inulatory agencies.
-Experience interpreting and applying complex financial regulations or accounting standards.