Our client is seeking a Monitoring Analytics Consultant

Responsibilities

• Analyse existing transaction monitoring rules and scenarios to assess effectiveness and performance.
• Conduct threshold tuning and optimisation to improve alert quality and reduce false positives.
• Perform data-driven analysis of transaction patterns and alert outcomes.
• Evaluate rule efficiency and detection coverage against typologies and regulatory expectations.
• Develop and test new scenarios or rule enhancements where gaps are identified.
• Produce analytics, dashboards, and reports to support tuning decisions.
• Support model validation, documentation, and governance requirements.
• Collaborate with Compliance, Financial Crime, and Technology teams to implement rule changes.
• Assist with UAT testing and deployment of updated monitoring thresholds or rules.
• Ensure alignment with UAE regulatory expectations and AML best practices.

Required Experience

• 5+ years of AML / Financial Crime experience, with strong exposure to transaction monitoring systems.
• Proven experience with threshold tuning, scenario optimisation, or TM model calibration.
• Experience working with systems such as:
• • Actimize
  • SAS AML
  • FICO TONBELLER
  • Oracle FCCM
  • or similar transaction monitoring platforms
• Strong data analytics capability (SQL, Python, R, SAS, or similar).
• Ability to interpret alert performance metrics and detection efficiency.
• Experience working with large transaction datasets.

Preferred Experience

• Experience with UAE / GCC regulatory frameworks.
• Background in banking, fintech, or consulting environments.
• Familiarity with AML typologies, risk-based monitoring approaches, and model governance.

Deliverables

• Transaction monitoring rule performance analysis
• Threshold optimisation recommendations
• Scenario tuning documentation
• Reduction in false positives while maintaining detection coverage
• Implementation support and post-deployment performance monitoring

Skills

• Transaction Monitoring Analytics
• AML / Financial Crime Compliance
• Data Analysis & Statistical Methods
• SQL / Python / SAS / Data tools
• Stakeholder Management

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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