IT - Data Analyst - Senior

The Senior Data Analyst will support a critical AML (Anti-Money Laundering) rule migration initiative involving the transition of reporting logic from a legacy platform to SAS Viya. The role focuses on data validation, reconciliation, and business reporting rather than coding or model development.

The analyst will compare outputs between legacy and new systems, identify discrepancies at a record level, and ensure migrated AML rules produce accurate and explainable results aligned with compliance requirements.

Business Function

The Financial Crime / AML - Payments & Wires Analytics team supports AML monitoring and regulatory compliance for payments data, including wires and SWIFT transactions. The team ensures that rule-based reporting systems are accurate, consistent, and aligned with regulatory expectations., * Execute and validate AML rules within SAS Viya

• Perform side-by-side comparisons of legacy and SAS Viya outputs
• Conduct detailed record-level reconciliation of results
• Identify, investigate, and document discrepancies (data gaps, logic changes, date handling differences, etc.)
• Determine whether variances can be resolved or must be formally documented
• Refine or interpret SAS Viya logic to closely align with legacy outputs
• Produce clear, structured reconciliation and validation documentation
• Communicate findings and insights in a business-friendly, stakeholder-ready manner
• Support rule migration efforts (~30+ AML rules/reports) from legacy systems

Project Focus

This contractor will work on:

• Migration of AML reporting rules from a legacy system to SAS Viya
• Validation of migrated rules through parallel system testing
• Reconciliation and documentation of business logic differences
• Production of final audit-ready reconciliation artifacts

Note: This is not a coding-heavy development role. Existing code and logic are largely available; emphasis is on analysis, validation, and interpretation.

• 5-7 years of experience in Data Analytics or Business Reporting
• Strong SQL skills (joins, aggregations, CTEs)
• Experience with SAS (Base SAS, DATA Step, PROC SQL) or strong SQL with ability to adapt to SAS
• Proven ability to analyze results and explain root causes of data differences
• Strong experience in data validation, reconciliation, and reporting analysis

Nice-to-Have Requirements

• AML domain experience
• Financial services experience
• Experience with payments data (Wires, SWIFT, or similar transaction systems)
• Prior exposure to system or rule migration projects
• Familiarity with SAS Viya

Soft Skills & Competencies

• Strong business acumen with ability to translate ambiguity into clear requirements
• Analytical mindset with strong problem-solving and investigative skills
• Detail-oriented with strong focus on data quality and accuracy
• Excellent communication skills; able to explain technical findings in business terms
• Stakeholder management and collaboration skills
• Organized, process-driven, and documentation-focused
• Adaptable and effective in fast-paced, evolving environments
• Strong integrity and compliance mindset

Key Selling Points

• High-impact AML transformation project with clear deliverables
• Exposure to system migration and rule modernization initiatives
• Hands-on ownership with strong visibility to stakeholders
• Opportunity to work in financial crime analytics domain
• Hybrid/remote flexibility