Senior Consultant Data Analytics And Transaction Monitoring Scenario Tuning

CapitexDubaigulftalentpubblicata il 04/08/2026
Indispensabile:PythonDataQA/TestSenior

About the role

We're looking for a Senior Consultant to support a leading UAE bank in assessing, tuning, and enhancing its Transaction Monitoring (TM) scenarios and broader data analytics processes. The focus areas include improving scenario effectiveness, reducing false positives, strengthening typology coverage, remediating open findings, and supporting an upcoming TM system upgrade.

Key responsibilities

Assess existing TM scenarios, thresholds, alert volumes, analyst workload, QA findings, STR/SAR conversion rates, and regulatory observations

Support remediation of findings raised by Internal Audit, Model Risk Management, regulators, and external reviewers

Review and enhance the bank's typology coverage assessment process and identify potential scenario coverage gaps

Perform ad hoc scenario parameter and threshold tuning to reduce false positives without compromising risk coverage

Conduct pre- and post-tuning analysis, documenting methodology, results, and recommendations

Support TM-related data profiling, reconciliation, validation, data quality assessment, and issue remediation

Assist with the TM system upgrade — business requirements, data mapping, testing, UAT, regression testing, and post-implementation support

Coordinate closely with Compliance, TM Operations, Model Risk Management, Technology, Data Management, and system vendors

Required experience & skills

Minimum 3 years' experience in transaction monitoring, AML analytics, scenario tuning, model validation, or financial crime compliance at UAE banks or similar institutions

Strong understanding of AML/CFT, sanctions, proliferation financing, and relevant financial crime typologies (UAE experience preferred)

Experience analysing transaction, customer, alert, and scenario performance data

Experience supporting audit, regulatory, or model validation remediation

Proficiency in SQL, advanced Microsoft Excel, and data visualisation tools such as Power BI or Tableau

Knowledge of Python, R, SAS, or similar analytical tools is advantageous

Familiarity with SAS transaction monitoring

Strong analytical, documentation, stakeholder management, and communication skills