What are the responsibilities and job description for the AML Quantitative Analyst (contract) position at Wells Fargo?
Title: AML Quantitative Analyst
Location: 401 S Tryon St Charlotte, NC
Alternate Locations: Minneapolis, MN, Tempe, AZ, West Des Moines, IA, Irving, TX, or St Louis, MO
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:
The AML Quantitative Analyst is responsible for the development, ownership, and maintenance of analytics and models used to detect and prevent financial crimes, including anti-money laundering (AML) activity. This role works with large-scale, complex financial datasets and partners closely with risk, compliance, and technology teams to ensure models meet regulatory expectations and business needs.
Responsibilities:
Location: 401 S Tryon St Charlotte, NC
Alternate Locations: Minneapolis, MN, Tempe, AZ, West Des Moines, IA, Irving, TX, or St Louis, MO
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:
The AML Quantitative Analyst is responsible for the development, ownership, and maintenance of analytics and models used to detect and prevent financial crimes, including anti-money laundering (AML) activity. This role works with large-scale, complex financial datasets and partners closely with risk, compliance, and technology teams to ensure models meet regulatory expectations and business needs.
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.
- 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.