What are the responsibilities and job description for the Financial Crimes Model Developer position at Wells Fargo?
Title: Financial Crimes Model Developer
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 Financial Crimes Model Developer 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.
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.