Job Description
Roles & Responsibilities
Lead hands-on technical design and implementation of SAS Transaction Monitoring and Fraud Management solutions
Configure, develop, and customize 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
Desired Candidate Profile
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 analyze 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
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