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Quantitative Model Analyst Team Lead

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Job Details
Job Order Number
Company Name
U.S. Bank
Physical Address

Dover, DE 19904
Job Description

U.S. Bank is seeking
an accomplished quantitative analyst for modeling retail (residential mortgage,
home equity, auto, credit cards, small business) exposures for stress testing,
including the Comprehensive Capital Analysis and Review (CCAR), and the
Dodd-Frank Act Stress Test (DFAST). The credit risk modeling team lead will
have extensive experience and in-depth knowledge of credit loss modeling for
retail portfolios such as default models, transition models, loss-given-default
models (LGD), and familiarity with various vendor models. This position will
lead a group of analysts to develop the next generation of U.S. Bank’s stress
test loss forecasting models. In this role, you will contribute to the success
of U.S. Bank’s stress testing initiatives.

• Manages and runs multiple model development projects for CCAR/DFAST

• Leads a team of quantitative analysts in model development

• Oversees the data analytics, statistical model development, statistical
testing, requirement documentation, and implementation testing of multiple,
complex models

• Partners with portfolio risk managers and business lines to develop and
implement stress testing strategies

• Communicates modeling concepts and model assumptions with regulators,
auditors, and independent model validation teams

• Completes required Model Risk Governance and Tool Risk Governance review
procedures within or ahead of expected timelines

• Performs gap analyses to stress testing related rules, bulletins, and

• Provides direction and oversight to ensure quality deliverables while meeting
or exceeding stated deadlines

• Monitors and improves quality and ensures ‘best practice’ modeling
development techniques


Basic Qualifications

- 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

Preferred Qualifications

• 6-8 years of experience responsible for major tasks, deliverables, formal methodologies
and disciplines for credit risk modeling at a financial institution regulated
by the OCC or Federal Reserve

• 1-2 years leading a team of quantitative analysts or developers in model or
product development

• At least 8 years of advanced statistical modeling experience

Extensive Experience in:

• Data Analysis with large complex data sets and data warehouses

• Statistical model development and testing

• Business analysis and requirements documentation

• Programming in SAS, R, or Stata

Subject matter expert in:

• Consumer credit risk modeling – Knowledge of credit scores, LTV,
debt-to-income ratio, delinquency status, charge-offs, etc.

• Accounting rules related to charge-offs, recoveries, and non-accrual

• Allowance for Credit Loss accounting rules and regulations

• Statistical model development methodologies

• Statistical model implementation

• Stress testing concepts and related regulatory guidance

Job: Risk/Compliance/QC/Audit/Fraud

Primary Location: Minnesota-MN-Minneapolis

Shift: 1st – Daytime

Average Hours Per Week: 40

Requisition ID: 190005800

Other Locations: North Carolina-NC-Charlotte, IL-IL-Chicago, United States

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.

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