Senior Quantitative Modeler & ML Lead (AML)

U.S. Bank

Knoxville (TN)

Hybrid

USD 133,000 - 157,000

Full time

14 days+

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Benefits offered by this job

Healthcare (medical, dental, vision)
401(k) and retirement plan
Paid vacation

Job summary

U.S. Bank is seeking a highly skilled professional to join the Financial Intelligence Unit as an AML monitoring model developer. You will work with teams to advance anomaly detection, tune production models, and produce detailed development documentation in line with governance standards.

The role requires extensive experience with regression, time-series methods, and validation, using SAS, Python, and SQL, along with strong communication to executives and regulatory bodies.

Qualifications

  • Bachelor’s degree in a quantitative field with 10+ years of experience.
  • Alternative: MA/MS with 6+ years; or PhD with 5+ years.
  • Experience developing BSA/AML monitoring applications and documentation.

Responsibilities

  • Develop and maintain AML monitoring systems and models.
  • Drive end-to-end model development lifecycle from data exploration to production.
  • Create robust development documentation per Model Risk Governance standards.
  • Monitor models and defend methodologies to examiners and stakeholders.
  • Collaborate with EFCC, FIU and external validation teams.

Skills

Regression techniques
Time series
Model validation
Advanced data compilation
Programming skills
Analytical thinking
Communication skills

Education

Bachelor's degree in quantitative field
MA/MS in quantitative field
PhD in quantitative field

Tools

SAS
Python
SQL

Job description

U.S. Bank is seeking a highly skilled professional to join the Financial Intelligence Unit as an AML monitoring model developer. You will work with teams to advance anomaly detection, tune production models, and produce detailed development documentation in line with governance standards.

The role requires extensive experience with regression, time-series methods, and validation, using SAS, Python, and SQL, along with strong communication to executives and regulatory bodies.

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