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SAS Transaction & Fraud Monitoring Expert

Job in Dubai, Dubai, UAE/Dubai
Listing for: Dicetek LLC
Full Time position
Listed on 2026-06-11
Job specializations:
  • Finance & Banking
    FinTech
  • IT/Tech
    Cybersecurity, FinTech
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: SAS Transaction & Fraud Monitoring Applications Expert

Job Title:

SAS Transaction & Fraud Monitoring Applications Expert

Experienced SAS Fraud & Financial Crime specialist responsible for end-to-end delivery of transaction monitoring solutions—covering technical design, build, integration, testing, and production approval. This is a hands‑on role requiring deep technical expertise in SAS Viya 4, with active involvement in integrating SAS platforms with Prime 4 and the wider enterprise landscape.

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 Dev Ops practices
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