SAS Transaction & Fraud Monitoring Applications Expert
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About the Role
Job Title: SAS Transaction & Fraud Monitoring Applications Expert Overview 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.
Key Skills for This Role
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Overview
Job Title: SAS Transaction & Fraud Monitoring Applications Expert
Overview
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 DevOps practices
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