Data Analyst - Senior AML Rules

Overview

Primary

Job Title:

Senior Data Analyst – AML Rules

Alternate / Related Job Titles: Senior AML Data Analyst;
Financial Crime Data Analyst; AML Business Reporting Analyst;
Payments & Wires Data Analyst; SAS Data Analyst – AML

Location & Onsite Flexibility: Chicago, IL

Work Arrangement: Hybrid (2 days onsite per week)

Contract Details

• Position Type: Contract
• Contract Duration: 13 Weeks
• Start: As Soon As Possible
• Pay Rate: $55–$63/hour
• Hours: 40 hours per week

The Senior Data Analyst will support a large-scale AML rule migration, reconciling outputs between a legacy platform and SAS Viya. This role focuses on business reporting, analytical judgment, and validation, not quantitative modeling or algorithm development. The analyst will play a critical role in ensuring migrated AML rules accurately replicate legacy outputs and meet compliance expectations.

• Execute and validate AML rules within SAS Viya
• Compare outputs between SAS Viya and legacy platforms
• Investigate discrepancies down to record-level detail
• Determine whether variances can be resolved or must be formally documented
• Produce clear documentation explaining differences, logic changes, and outcomes
• Communicate findings to stakeholders in clear, business-friendly language

LOB Overview: This team supports AML monitoring and regulatory compliance for payments, wires, and SWIFT data. The group focuses on developing, validating, and reconciling rule-based reporting to ensure migrated systems align with legacy results while meeting regulatory and audit requirements.

• 5–7 years of experience in Data Analytics or Business Reporting
• Strong SQL skills (joins, aggregations, CTEs)
• SAS experience (Base, DATA step, PROC SQL) or strong SQL with ability to adapt to SAS
• Proven ability to interpret analytical results and clearly explain why differences exist

• AML or financial crime domain experience
• Financial services industry background
• Payments data experience (wires, SWIFT, or broader payments data)
• Prior experience with system or rule migrations
• Familiarity with SAS Viya

• Strong business acumen with ability to translate ambiguity into actionable insights
• Curious, inquisitive, and solution-oriented mindset
• Detail-oriented with a strong data quality and validation focus
• Clear and concise communicator across technical and business audiences
• Stakeholder-focused, collaborative, and ownership-driven
• Organized, adaptable, and effective in fast-paced environments
• High integrity with a strong compliance and governance mindset

• High-impact, short-term project with clearly defined deliverables
• Hands-on ownership in a critical system migration initiative
• Exposure to AML, financial crime analytics, and rule modernization
• Hybrid work environment with strong stakeholder visibility

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

A leading global commercial real estate services and investments organization, delivering data-driven solutions across sectors and geographies. The company leverages market insights and technology to drive transformation and offers a dynamic, entrepreneurial environment with global resources.

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. GTT values diverse and inclusive workplaces and partners with Fortune 500 banking, insurance, financial services, technology, life sciences, biotech, utility, and retail organizations across the U.S. and Canada.

Job Number: 26-01018

Note:

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