Job description

  • 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).

Top 3 Skills Required

  • Transaction Monitoring
  • Data Engineering
  • SQL & Python, R Script

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