Quantitative Model Analyst – AML (multiple positions) in Chicago, IL

U.S. Bank • Chicago, IL

2d

About The Position

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description U.S. Bank is seeking the position of Quantitative Model Analyst – AML (multiple positions) in Chicago, IL Essential Responsibilities: Streamline risk management reporting processes and optimize workflow automation for value analysis. Develop quantitative techniques, document risk monitoring requirements, and statistical model testing procedures. Oversee AML (Anti-Money Laundering) transaction monitoring models through continuous evaluation and analyzing associated risks, input data integrity, and model performance. Compile and analyze data using SAS and SQL to effectively test and validate financial model thresholds and review credit risk outcomes and analysis. Communicate and present transaction monitoring outcomes and suggestions to stakeholders and senior leadership.

Requirements

• Requires a Master's degree in Finance, Statistics, or Business Analytics, and 2 years in a Financial Quantitative Analysts, or related, occupation.
• Must include 1 year of experience with each of the following: 1. Regression and time series techniques, parametric and non-parametric algorithms, statistical models, and financial model validation tests and methodologies; 2. Quantitative and qualitative risk factors, and credit risk and industry performance metric management; 3. Python to automate workflow and ensure compliance with internal and external regulations; 4. Looker, R, SAS, and SQL; 5. Assess risk thresholds using sensitivity and outcome analysis powered by Macros and Python; and 6. Perform Current Expected Credit Loss (CECL) model development and validation.

Responsibilities

• Streamline risk management reporting processes and optimize workflow automation for value analysis.
• Develop quantitative techniques, document risk monitoring requirements, and statistical model testing procedures.
• Oversee AML (Anti-Money Laundering) transaction monitoring models through continuous evaluation and analyzing associated risks, input data integrity, and model performance.
• Compile and analyze data using SAS and SQL to effectively test and validate financial model thresholds and review credit risk outcomes and analysis.
• Communicate and present transaction monitoring outcomes and suggestions to stakeholders and senior leadership.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level