SAS Developer

3 days ago


Toronto, Ontario, Canada Quantum Technology Recruiting Inc. (QTR) Full time

Title: SAS AML Developer (anti-money laundering)

Location: Toronto, ON (Hybrid)

Contract: 6 months (extendable, multi-year program)

About the Role

Our client, a global leader in consulting and advisory services, is seeking a SAS Platform Developer to support a high-impact Anti-Money Laundering (AML) initiative for a top-tier financial institution. This role is ideal for a seasoned SAS expert with experience developing AML-focused applications in Unix/Linux environments.

Key Responsibilities:

  • Develop & Enhance SAS Applications – Design and implement SAS-based solutions to support AML investigations and regulatory compliance.
  • Optimize Transaction Monitoring – Configure and refine built-in AML scenarios to identify suspicious activities, ensuring seamless case management for investigators.
  • Manage SAS Platform Performance – Maintain and enhance the SAS AML platform, ensuring high availability, scalability, and security.
  • Collaborate Across Teams – Work with business analysts, data scientists, and compliance professionals to refine AML detection methodologies and reporting mechanisms.
  • Ensure Compliance & Best Practices – Align development efforts with regulatory requirements and industry standards in financial crime prevention.

Qualifications & Experience:

  • 5+ years of experience in SAS Platform Development (building applications, not just statistical analysis).
  • 5+ years working in Unix/Linux environments with hands-on scripting expertise.
  • 2+ years of experience with SAS 9.X versions in an enterprise setting.
  • Experience developing SAS-based AML applications , including transaction monitoring, case management, and suspicious activity detection.
  • Strong understanding of financial crime compliance, risk assessment, and regulatory reporting.

Preferred Skills:

  • Consulting experience within the financial services industry.
  • Familiarity with banking AML regulations, KYC, and fraud detection frameworks.
  • Ability to analyze large financial datasets and optimize risk-based decision models.
  • Excellent communication skills to liaise with both technical and non-technical stakeholders.

Interested? Please send your updated resume to Zhanna Dalbenka at


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