Title :

AML Quantitative Analyst Location :

401

S Tryon St Charlotte, NC Duration :

12 months

Work Engagement :

W2

Work Schedule :

4 days in office/1 day remote Benefits on offer for this contract position : Health Insurance, Life insurance, 401

K and Voluntary Benefits Summary:

We are seeking an experienced AML Quantitative Analyst to support complex analytical initiatives involving model governance, data quality, data validation, and cross-functional project delivery. This role will partner with business, technology, and data teams to ensure analytical models and critical data assets are effectively governed, monitored, and maintained within a controlled regulatory environment. The ideal candidate brings strong analytical capabilities, hands-on SQL experience in Teradata environments, and a proven ability to manage complex initiatives while driving resolution of data quality and control issues.

Responsibilities:

Serve as a model owner and/or developer for financial crimes and AML transaction monitoring models across the model lifecycle, including development, testing, implementation, and ongoing performance monitoring. Develop, enhance, and validate analytical models using large, complex datasets such as transactional data, customer profiles, and product-level information. Perform advanced data analysis using SQL and Python to support model development, tuning, and issue resolution. Partner with business, compliance, audit, and technology stakeholders to identify risks, explain model behavior, and propose effective solutions. Clearly articulate complex modeling concepts, risk insights, and recommendations to audiences at varying technical and management levels. Ensure models comply with regulatory requirements and internal governance standards, including applicable AML and financial crimes regulations. Support model documentation, governance reviews, and regulatory inquiries as needed.

Qualifications :

Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship. Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics; advanced degree preferred. Proven experience as a model owner or developer for financial crimes or AML-related models. Strong proficiency in SQL and Python. Experience working with large-scale, high-volume, and complex datasets in a financial institution environment. Excellent verbal, written, and interpersonal communication skills, with the ability to clearly explain complex concepts and risks. Working knowledge of AML transaction monitoring and regulatory requirements, including the Bank Secrecy Act (BSA) and

USA PATRIOT

Act. Familiarity with big data tools and advanced analytical techniques. Experience with Oracle platforms. Prior experience within a large financial institution or highly regulated environment.