Quantitative Model Analyst 4
Compensation: $67,900.00 - $111,780.00 /year *
Employment Type: Full-Time
Industry: Advertising/Marketing/Public Relations
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U.S. Bank Quantitative Model Development group is seeking a senior quantitative analyst
for the wholesale credit risk modeling team. This position will develop
wholesale Probability of Default (PD), Loss Given Default (LGD), and Exposure
at Default (EAD) credit risk forecasting models for Basel III Advanced,
CCAR/DFAST and CECL. Desired candidate will have experience of credit loss
modeling for these regulatory rules and knowledge of Wholesale/Commercial,
small business or retail portfolios. In this role, you will contribute to the
success of U.S. Bank's credit risk modeling initiatives.
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 products (commercial
and industrial (C&I), commercial real estate (CRE) or small business). 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 10 or more years of experience in statistical modeling OR
- Master's or PhD degree in a quantitative field, and six or more years of experience in statistical modeling
-Experience working with large datasets and building or validating advanced statistical models (including regression and economic factor models)
-Programming experience in SAS (Base, STAT, and/or Enterprise Guide) and Experience with MS Word, Excel, and PowerPoint
-Ability to build strong relationships with a wide range of individuals from risk, finance, model validation, technology, and regulators
-Strong analytical and problem solving skills, coupled with thoroughness and attention to detail
-Strong oral and written communication skills
-Ability to prioritize work, meet deadlines, work under pressure and independently while balancing multiple priorities in a dynamic and complex environment
-Working knowledge of VBA, SQL, Python, or R is a plus
-Experience interpreting and applying Basel A-IRB, CCAR/DFAST, CECL regulatory rules and experience working with financial institution regulatory agencies
-Experience underwriting or managing commercial or retail loans
-Experience working with internal model validation and model risk management
**Primary Location:** United States
**Shift:** 1st - Daytime
**Average Hours Per Week:** 40
**Requisition ID:** 190034634
U.S. Bank is an Equal Opportunity Employer committed to creating a diverse workforce.
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.
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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