Quantitative Model Analyst - AML

U.S. Bank; Chicago (IL); On-site; USD 112,000 - 131,000; Full time

Job summary

U.S. Bank is seeking an experienced quantitative analyst in its Enterprise Financial Crime Compliance (EFCC) organization. You will monitor AML Transaction Monitoring models, review code changes, and analyze complex data to identify risk drivers and improvements.

Strong SAS/SQL/Python skills and experience in regulated environments are essential. The role emphasizes independent work, clear communication with model owners and regulators, and thorough documentation of analyses to support

Qualifications

• Bachelor’s degree in a quantitative field with 8+ years of relevant experience, or MA/MS with 5+ years, or PhD with 4+ years.
• Experience evaluating quantitative models or monitoring frameworks in regulated environments.
• Proficiency in SAS, SQL, and Python for data analysis, testing, automation, and code review.

Responsibilities

• Conduct ongoing monitoring and performance assessments of AML Transaction Monitoring models.
• Perform comprehensive code reviews and code change assessments for AML monitoring models.
• Investigate model behavior changes and document analyses with clear conclusions and recommendations.
• Prepare materials for senior leadership, Model Risk Management, Corporate Audit, and regulators.
• Provide constructive feedback to model and code owners to drive remediation and improvements.
• Assess threshold and sampling soundness via Below-the-Line reviews and support calibration decisions.

Skills

Data analysis

Statistical research

Quantitative modeling

Model risk concepts

SAS

SQL

Python

AML monitoring

Communication

Independent work

Education

Bachelor's degree in quantitative field

MA/MS in quantitative field

PhD in quantitative field

Tools

SAS

SQL

Python

Job description

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

NOTE: This position is not eligible for current or future visa sponsorship.

This role is an individual contributor position within the Bank’s Enterprise Financial Crime Compliance (EFCC) organization. The person in this role will join a team of Financial Intelligence Unit (FIU) quantitative analysts responsible for the ongoing monitoring, testing, analytical review, and governance of AML Transaction Monitoring models. The individual will partner closely with model owners, Model Risk Management, internal and external auditors, and senior leadership to evaluate model behavior, identify emerging risks, and support enhancements to AML monitoring capabilities across the enterprise. This team is integral to maintaining and enhancing the Bank’s Anti-Money Laundering Transaction Monitoring systems.

The ideal candidate will have experience evaluating quantitative models or monitoring frameworks in a regulated environment and a demonstrated ability to analyze complex data, investigate changes in model behavior, and develop well-supported conclusions. Candidates should possess a strong understanding of model risk concepts, performance monitoring, sampling methodologies, and root cause analysis. Proficiency in SAS, SQL, and Python for data analysis, testing, automation, and code review is highly desirable. The successful candidate will be able to assess whether code logic, data inputs, transformations, and outputs align with documented intent. Strong written and verbal communication skills are essential, as findings and recommendations must be effectively communicated to model owners, Model Risk Management, auditors, regulators, and senior leadership.

This individual is expected to be highly self-driven, well-organized, and efficient in time management, capable of handling multiple tasks at once. Team responsibilities include performing ongoing monitoring and performance assessments of AML Transaction Monitoring models, conducting comprehensive code reviews and code change assessments, executing below-the-line testing of model thresholds, and performing detailed analytical research to understand model behavior changes, emerging trends, and the underlying drivers of observed performance shifts. Each task requires comprehensive, well‑structured documentation of analyses and conclusions such that work can be independently understood, reviewed, and defended without additional explanation.

Essential Functions

• Conduct in-depth analytical research into model performance and behavior changes, including investigation of shifts in alert volumes, customer populations, and transaction patterns to identify underlying drivers and assess potential model impacts.
• Execute and document periodic testing, and performance reviews in alignment with regulatory expectations and internal risk standards.
• Review and challenge model behavior, limitations, and assumptions; identify potential control gaps and recommend remediation actions.
• Conduct comprehensive code reviews and code change assessments for AML Transaction Monitoring models to ensure alignment with documented intent, coding standards, and regulatory requirements.
• Provide clear, constructive feedback to model and code owners, supporting effective issue resolution and continuous improvement.
• Assess model threshold & sampling soundness through Below‑the‑Line (BTL) reviews and support ongoing calibration decisions.
• Prepare and present materials for audiences including senior leadership, Model Risk Management, Corporate Audit, and regulatory partners.

Basic Qualifications

• Bachelor’s degree in a quantitative field required with at least 8 years of relevant experience

OR

• MA/MS in a quantitative field, and five or more years of related experience

OR

• PhD in a quantitative field, and four or more years of related experience

Preferred Skills/Experience

• Demonstrated ability to analyze complex datasets, conduct statistical assessments and exploratory research, and translate findings into actionable insights regarding model behavior, performance trends, and emerging financial crime risks.
• Strong understanding of quantitative modeling concepts, including model drivers, segmentation strategies, threshold optimization, performance monitoring, and root cause analysis.
• Experience working with quantitative models, analytics, or monitoring frameworks in a regulated environment.
• Proficiency in SAS, SQL, and Python for data analysis, testing, and automation.
• Strong analytical skills with attention to detail and the ability to evaluate complex model behavior.
• Experience supporting AML/BSA Transaction Monitoring systems or financial crime detection tools. Understanding of AML best practices and regulatory expectations.
• Ability to work independently while managing multiple priorities in a fast-paced environment.
• Ability to clearly communicate (verbally and in writing) model performance, risks and recommendations, tailoring technical depth to the target audience.
• Self‑directed problem solver who identifies gaps and resolves issues independently.

LOCATION EXPECTATIONS

This role requires working from a U.S. Bank Location three (3) or more days per week.

NOTE: This position is not eligible for current or future visa sponsorship.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• 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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, some positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.