Quantitative Model Analyst III – AML Monitoring

U.S. Bank

Chicago (IL)

On-site

USD 98,000 - 116,000

Full time

2 days ago
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Benefits offered by this job

Healthcare (medical, dental, vision)
401(k) retirement plan
Paid vacation
Holiday opportunities
Adoption assistance
Disability insurance

Job summary

U.S. Bank is seeking a quantitative professional to develop, validate, test, and implement complex statistical models for monitoring suspicious activity within customer accounts. You will own existing models and support development of new models under guidance from senior analysts.

The role emphasizes clear communication of model performance to compliance, risk, and technology teams, with deliverables including documentation, assessments, and ongoing monitoring artifacts.

Qualifications

  • Bachelor’s degree in a quantitative field with 5+ years of relevant experience.
  • MA/MS in a quantitative field with 3+ years of related experience.
  • PhD in a quantitative field with less than 2 years of related experience.

Responsibilities

  • Create and develop statistical models for monitoring activity.
  • Review and maintain model documentation.
  • Conduct periodic performance assessments of models.
  • Tune and calibrate models to meet regulatory and internal risk standards.
  • Communicate model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams.

Skills

Statistical modeling
Model validation
SAS
Python
SQL
Communication
Project management
Independent work

Education

Bachelor’s degree in a quantitative field
MA/MS in a quantitative field
PhD in a quantitative field

Tools

SAS
Python
SQL

Job description

U.S. Bank is seeking a quantitative professional to develop, validate, test, and implement complex statistical models for monitoring suspicious activity within customer accounts. You will own existing models and support development of new models under guidance from senior analysts.

The role emphasizes clear communication of model performance to compliance, risk, and technology teams, with deliverables including documentation, assessments, and ongoing monitoring artifacts.

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