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Based in the Group Customer Analytics & Decisioning team, you will be responsible for developing & optimizing Regulatory Compliance data pipelines & architecture. These will support analytical needs around topics such as Anti-Money Laundering, Know Your Customer and Investigations.
Create and maintain the optimal data pipeline architecture to enable ingestion from a wide variety of structured and unstructured data sources.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and cleansing/transformation.
Support development and deployment of applications utilising the data pipelines to provide actionable insights into suspicious transactions, anomaly detection, network analysis and dashboarding.
Minimum 10 years of working experience in data management, ETL and analysis functions
Understanding of banking with exposure to Legal and Regulatory Compliance is preferred
Strong hands-on skills in SQL & PL/SQL
Solid background in traditional structured database environments such as Teradata / Oracle
Knowledge on data warehouse and FSLDM concepts
Exposure to Hadoop Ecosystem such as HIVE, Sqoop and Streaming data systems
Experience in end to end automation - building procedures, ETL and automated job scheduling - using the likes of DataStage, Talend, Kafka, Airflow, Pentaho
Ideally some knowledge of analytical software tools such as Python / R / SAS / QlikView / Tableau / Spark
Energetic personality with an innovative, self-starting spirit. Someone that likes to ask "why?"