Description

• Based in the Group Customer Analytics & Decisioning team, you will be responsible for developing & optimizing Regulatory Compliance data pipelines & architecture. These will support data analytical needs around topics such as Expresso, 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.

Qualifications

• Minimum 6 years of working experience in data management, ETL and analysis functions
• Understanding of banking with exposure to 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
• Exposure to open-source relational database such as PostgreSQL / MongoDB
• 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