Senior Quantitative Modeling & AML Analytics Lead

U.S. Bank; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

U.S. Bank in Chicago seeks an experienced analytics professional to lead AML monitoring model development and deployment.

The role entails building, tuning, and maintaining transaction monitoring systems, including Actimize SAM Security Blanket and internal SAS/Python models, with strong emphasis on documentation and governance. You'll collaborate with EFCC, FIU, and validation teams, communicate complex concepts to stakeholders, and drive end-to-end ML modeling while ensuring regulatory

Qualifications

• Bachelor's degree in a quantitative field with 10+ years of relevant experience
• MA/MS in a quantitative field with 6+ years of relevant experience
• PhD in a quantitative field with 5+ years of relevant experience

Responsibilities

• Partner with EFCC and FIU to understand transaction monitoring applications and processes
• Support/own/enhance existing models
• Drive end-to-end model development lifecycle from data exploration to production
• Create robust development documentation per Model Risk Governance standards
• Monitor models in partnership with FIU teams and conduct performance analyses

Skills

Analytical skills

Communication skills

Time management

Leadership

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 in Chicago seeks an experienced analytics professional to lead AML monitoring model development and deployment.

The role entails building, tuning, and maintaining transaction monitoring systems, including Actimize SAM Security Blanket and internal SAS/Python models, with strong emphasis on documentation and governance. You'll collaborate with EFCC, FIU, and validation teams, communicate complex concepts to stakeholders, and drive end-to-end ML modeling while ensuring regulatory