What are the responsibilities and job description for the AML Model & Data Governance Analyst position at wellsfargo?
Title: AML Model & Data Governance Analyst
Location: 401 S Tryon St Charlotte, NC
Duration: 14 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 Model & Data Governance Analyst to support the ownership, oversight, and governance of financial crimes and anti-money laundering (AML) models. This role is responsible for managing the end-to-end model lifecycle, ensuring models remain accurate, compliant with regulatory expectations, and aligned with evolving business needs.
The ideal candidate will bring a strong combination of model governance, data analysis, project management, and financial crimes expertise. This position works closely with technology, data, risk, compliance, and business teams to monitor model performance, investigate data quality issues, and drive effective remediation solutions.
Responsibilities:
Model Ownership & Governance
Demonstrated accountability for analytical or quantitative models across implementation, maintenance, and controlled change processes.
Experience operating within governed environments requiring formal documentation, controls, and audit readiness.
Ability to independently challenge model assumptions and interpret outputs without serving as primary model developer.
Proficient in performing data analysis and validation using SQL in Teradata environments.
Ability to analyze large datasets to identify trends, issues, and insights supporting business decisions.
Experience monitoring, validating, and reporting on data quality metrics including accuracy, completeness, and timeliness.
Strong capability to conduct root cause analysis for data quality issues.
Demonstrated experience partnering with stakeholders to drive resolution of data defects and control gaps.
Proven experience managing complex projects with multiple stakeholders across technology, data, and business teams.
Ability to coordinate timelines, deliverables, dependencies, and risk issues to successful completion.
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
7 years of experience in analytics, model development, or related roles within financial services or risk management.
Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Economics); advanced degree preferred.
Proven experience as a model owner or developer for financial crimes or AML models.
Strong proficiency in SQL and Python
Familiarity with big data tools
Experience working with large financial institution data, meaning high-volume, complex datasets such as transactions, customer profiles, and product transactional information that require advanced tools and techniques for analysis.
Ability to clearly and accurately articulate complex issues, risks, and propose solutions to various levels of staff and management through excellent verbal, written, and interpersonal communication skills.
Knowledge of AML transaction monitoring and regulatory requirements (BSA, USA PATRIOT Act) preferred.
Familiarity with Oracle Platforms preferred.