AML Quantitative Analyst

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, 401K 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.