Senior Data Analyst AML Rules Migration

Location: Chicago IL

Onsite Flexibility: Hybrid

• Position Type: Contract
• Contract Duration: 4 months (with potential for extension; FTE conversion also possible)
• 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.

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 project involves migrating AML rules/reports from a legacy platform to SAS Viya implementing new process/data flows into SAS Viya with associated AML Transaction Monitoring Rules/Parameters performing 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 performing defect identification root cause analysis support defect resolution tracking and testing and producing final well-documented reconciliation artifacts.

This role will offer insight into SAS Viya 4.0 deployments AML subject-matter experience and new banking products/services in a supportive collaborative environment. The Senior Data Analyst will interact with AML Transformation Delivery & Insights team members while having the ability to work with minimal oversight.

• Execute and validate AML rules in SAS Viya
• Compare outputs against existing AML Transaction Monitoring rules
• Investigate discrepancies down to record-level detail
• Determine whether differences can be resolved or must be documented
• Produce clear documentation explaining variances and logic changes
• Communicate findings to stakeholders in clear business-friendly language
• Support code development and possess strong SQL skills and Proc SQL (SAS)

• 57 years of experience in Data Analytics or Business Reporting

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

• 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

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

• Interview process: 12 rounds with the Hiring Manager and team via Microsoft Teams; approximately 1 hour in duration
• Candidates may start while employment history and regulatory credentials are being verified; suppliers have 30 days from the start date to complete verification
• No regulatory credentials are required to be registered upon start

This client is a leading financial services and banking institution operating across the U.S. and Canada supporting enterprise-level banking operations including treasury payments compliance and financial crime prevention. The organization employs thousands of professionals across roles such as business analysts data analysts DevOps engineers and enterprise program analysts who collaborate cross-functionally in a structured high-accountability environment.

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

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