Experience driving data quality issue resolution and data strategy execution.
Support implementation of sustainable data controls and data governance framework (including data quality assessment concepts, data lineage, and CDEs).
Strong understanding of relational databases concepts, including data modelling of financial transactional data and data analytics tools/techniques, and AML transaction monitoring data and data analysis.
Experience conducting Scope of Monitoring exercises to identify products, specifications, and red flags for TM models.
Document testing artifacts and deliverables that demonstrate the amended processes and functionalities.
Coding skills in SQL and Python, and experience with Hadoop, Apache Spark, Scala, CI/CD processes, and Git Branching.
Hands-on technical experience working with AML Transaction Monitoring systems (like Mantas and/or Actimize).