Senior Data Analyst - AML Rules Migration

Sr Data Analyst AML Rules Migration SAS Viya, SQL

Location:

Chicago, IL

Onsite Flexibility:
Hybrid

Contract Details

• Position Type:
  Contract
• Contract Duration: 4 months (with potential for extension)
• Pay Rate: $60.00–$65.00 / Hour (USD)
• Shift /
  
  Schedule:
  
  37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday
• Work Authorization:
  Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

The Senior Data Analyst will support a large AML rule migration by testing the deployment of an additional system into the AML SAS Viya environment. This role is focused on business reporting and analytical judgment, not quantitative modeling or algorithm development. The Line of Business supports AML transaction monitoring and compliance for payments data (wires and SWIFT) by developing, validating, and reconciling rule-based reporting.

The team ensures migrated rules accurately replicate legacy system outputs, documents discrepancies, and supports regulatory and compliance objectives. The contractor will be working on migrating from one system to another system, including validation, reconciliation, and documentation of business logic. This role will interact with AML Transformation, Delivery & Insights team members, while having the ability to work with minimal oversight.

The team consists of 6 FTE with additional contractor support and operates as a collaborative, open culture with defined deliverables. This is a role that will offer insight into SAS Viya 4.0 deployments, AML subject-matter experience, and new banking products/services in a supportive, collaborative environment.

Key Responsibilities

• Executing and validating AML rules in SAS Viya
• Comparing outputs against existing AML Transaction Monitoring rules
• Investigating discrepancies down to record-level detail
• Determining whether differences can be resolved or must be documented
• Producing clear documentation explaining variances and logic changes
• Communicating findings to stakeholders in clear, business-friendly language
• Data Load Validation: reconciling results at record level
• Identifying and documenting discrepancies (e.g., data availability, date logic changes)
• Refining SAS Viya logic to align new LOB data flows/products with existing AML Rule Typologies
• Defect identification, root cause analysis support, defect resolution tracking and testing
• Producing final, well-documented reconciliation artifacts
• Supporting code development with strong SQL skills and Proc SQL (SAS)

Required Skills

• 5–7 years of experience in Data Analytics or Business Reporting
• Strong SQL (joins, aggregations, CTEs)
• SAS experience (Base, DATA step, PROC SQL) or strong SQL with ability to adapt to SAS
• Proven experience interpreting results and explaining "why" differences exist
• Strong business acumen with the ability to translate ambiguity into clear requirements
• Curious and inquisitive, with strong problem-solving skills
• Detail-oriented with a data quality and validation mindset
• Clear, concise communicator who can present technical findings in business-friendly language
• Stakeholder-focused and collaborative team player

Preferred Skills

• AML domain experience
• Financial services background
• Payments data experience (preferred):
  Wires - SWIFT - Payments data more broadly
• Prior experience with system or rule migrations
• Familiarity with SAS Viya
• Python experience

Required Experience

• 3–8 years of overall experience; 5–7 years of experience in Data Analytics or Business Reporting

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

Important Notes

• Interview process: 1–2 rounds with Hiring Manager and Team; approximately 1 hour per round; conducted via Microsoft Teams
• Candidate may start while employment history and, if applicable, regulatory credentials are being verified by the supplier; suppliers have 30 days from the start date to complete verification
• Conversion to FTE:
  Possible

About the Client

This client is a leading financial services and banking institution operating across North America, with a significant presence in the U.S. and Canada. The organization employs thousands of professionals across technology, compliance, and operations functions, supporting critical banking services including AML transaction monitoring, payments processing, and financial crime compliance. Teams at this institution include data analysts, Dev Ops engineers, business analysts, enterprise programs analysts, and compliance specialists who collaborate across highly regulated, enterprise-scale programs.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-10680 Industry: Data & Analytics