We are seeking an experienced Transaction Monitoring Analytics Consultant to support a financial institution in Dubai on a 6-month contract . The consultant will focus on optimising and tuning transaction monitoring rules and thresholds to improve detection of suspicious activity while reducing false positives.
The role requires strong expertise in AML transaction monitoring systems, data analysis, and model/rule optimisation , working closely with Financial Crime, Compliance, and Data teams. Key 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
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