SAS Transaction Monitoring SME
VirtusaJobsCloseBy Editorial Insights
Virtusa seeks a SAS Transaction Monitoring SME to lead hands-on design and deployment in Dubai. The role focuses on configuring detection scenarios and workflows in SAS Viya 4 and delivering end-to-end from build to production, including Prime 4 integration. You will collaborate with risk, compliance, and stakeholders to translate fraud strategies into technical solutions, ensure performance and AML alignment, troubleshoot issues, and support governance. Ideal candidates bring SAS Fraud Management expertise, SAS Viya 4 architecture knowledge, data engineering skills, and strong multi-vendor stakeholder management; banking or financial services experience is a plus. To apply, tailor your resume to show end-to-end delivery, include concrete rule optimization examples, and demonstrate readiness for onsite Dubai work and DevOps awareness.
Description
Job Title: SAS Transaction & Fraud Monitoring Applications Expert
Key Responsibilities:
• Lead hands-on technical design and implementation of SAS Transaction Monitoring and Fraud Management solutions
• Configure, develop, and customise detection scenarios, models, and workflows within SAS Viya 4
• Drive end-to-end delivery across build, system integration, SIT/UAT testing, and production approvals
• Design and manage integrations between SAS platforms and Prime 4 (and other upstream/downstream systems)
• Support data ingestion, transformation, and orchestration across multiple data sources
• Collaborate with risk, compliance, and business stakeholders to translate fraud strategies into technical solutions
• Ensure solution performance, scalability, and regulatory alignment (e.g., AML, fraud detection)
• Troubleshoot production issues and optimise rule performance and alert quality
• Contribute to governance, documentation, and release management processes
Key Skills & Experience:
• Strong hands-on experience with SAS Fraud Management / Transaction Monitoring
• Proven expertise in SAS Viya 4 architecture and components
• Experience integrating SAS with core banking or fraud platforms, including Prime 4
• Solid understanding of fraud/AML typologies, detection strategies, and alert lifecycle
• Proficiency in data engineering concepts, APIs, and system integration patterns
• Experience across SDLC phases (design, build, test, approvals)
• Strong stakeholder management within complex, multi-vendor environments
Success Profile:
• Hands-on operator who takes ownership and drives outcomes end-to-end
• Critical thinker with the ability to analyse complex problems and identify practical solutions
• Proactive problem-solver who resolves issues at source rather than defaulting to escalation
• Comfortable working under pressure, navigating ambiguity, and unblocking delivery challenges
Desirable:
• Experience in banking or financial services (fraud risk or AML domains preferred)
• Knowledge of regulatory expectations (e.g., CBUAE or international standards)
• Familiarity with agile delivery and DevOps practices