Design and maintain data models and datasets for monitoring and risk scoring.
Own end-to-end FinCrime analytics solutions: requirements, ETL, deployment.
Develop and optimise detection logic and monitoring rules (transactions, patterns).
Perform data quality checks for accuracy and auditability.
Build dashboards and tools (Looker/Looker Studio) for risk exposure and investigations.
Contribute to automation and continuous improvement of FinCrime processes (screening, alerts).

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