Location: Charlotte, NC
Salary: $52.00 USD Hourly - $56.00 USD Hourly
Description: Senior Data & Model Governance Analyst (AML/Financial Crimes)
We are not accepting C2C or 1099 arrangements.Location: Charlotte, NC (Preferred)
Additional Locations: Minneapolis, MN; Tempe, AZ; West Des Moines, IA; Irving, TX; St. Louis, MO
Employment Type: Full-Time, W2 Only
Work Authorization: Must be authorized to work in the United States. We are not accepting Corp-to-Corp (C2C) or 1099 arrangements.
About the RoleWe are seeking a
Senior Data & Model Governance Analyst to support model ownership, data governance, and analytics initiatives within a highly regulated financial services environment. This role will be responsible for ensuring model integrity, data quality, regulatory compliance, and operational effectiveness of financial crimes and AML-related analytics solutions.
The ideal candidate will have strong experience in model governance, data analysis, SQL and Python development, stakeholder management, and financial crimes risk management.
ResponsibilitiesModel Governance & Ownership- Serve as a steward for analytical and quantitative models throughout their lifecycle, including implementation, monitoring, maintenance, and controlled change management.
- Ensure compliance with model governance standards, policies, and audit requirements.
- Review, assess, and challenge model assumptions, methodologies, and outputs while partnering with model developers and validation teams.
- Maintain required documentation, controls, and evidence for regulatory, audit, and governance reviews.
- Monitor model performance and identify potential risks, limitations, or areas requiring remediation.
Data Analysis & Data Quality- Perform data analysis, validation, and reconciliation activities using SQL within Teradata and other enterprise data platforms.
- Analyze large, complex datasets to identify trends, anomalies, control gaps, and actionable business insights.
- Monitor and report on data quality indicators, including accuracy, completeness, consistency, and timeliness.
- Conduct root cause analysis of data quality issues and drive corrective actions.
- Partner with technology, data management, and business teams to resolve data defects and improve data governance practices.
Project & Stakeholder Management- Lead and coordinate cross-functional initiatives involving business, data, risk, compliance, and technology teams.
- Manage project timelines, dependencies, deliverables, risks, and issue resolution activities.
- Communicate analytical findings, risks, recommendations, and governance updates to leadership and key stakeholders.
- Support regulatory examinations, audits, and internal governance reviews.
Minimum Qualifications- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Finance, or another quantitative discipline.
- 7+ years of experience in analytics, model governance, model development, risk management, or related disciplines within financial services.
- Strong experience with model ownership, model governance, or model development frameworks.
- Advanced proficiency in SQL and Python.
- Experience working with large-scale financial services datasets, including transaction, customer, account, and product data.
- Demonstrated ability to perform data analysis, validation, and data quality assessments.
- Experience managing complex initiatives with multiple stakeholders across business and technology organizations.
- Strong verbal, written, and presentation communication skills.
- Ability to translate complex analytical concepts into business-focused recommendations.
Preferred Qualifications- Advanced degree (Master's or PhD) in a quantitative field.
- Experience supporting or owning Financial Crimes, AML, Fraud, or Transaction Monitoring models.
- Knowledge of AML regulatory requirements, including the Bank Secrecy Act (BSA) and USA PATRIOT Act.
- Experience with Oracle platforms and enterprise data environments.
- Familiarity with big data technologies and modern data analytics frameworks.
- Experience working within highly regulated environments requiring audit readiness and regulatory compliance.
Key Skills- Model Governance & Risk Management
- AML / Financial Crimes Analytics
- Data Governance & Data Quality
- SQL (Teradata)
- Python
- Root Cause Analysis
- Regulatory Compliance
- Stakeholder Management
- Project Management
- Data Validation & Reconciliation
- Reporting & Executive Communication
Equal Opportunity EmployerWe are committed to fostering an inclusive workplace and welcome applicants from diverse backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
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