The Fraud Data Analytics team supports the operations of the Fraud and Scams Response Centre, dedicated to safeguarding customer assets from fraud and financial loss
Job Summary
The Fraud Data Analytics team supports the operations of the Fraud and Scams Response Centre, dedicated to safeguarding customer assets from fraud and financial loss.
You will proactively identify fraud trends, analyse customer-detected fraud, and maintain fraud detection rule suites to minimise false positives.
The role involves performing comprehensive data analysis to inform critical business decisions and providing valuable insights through root cause analysis.
Matching Summary
The Fraud Data Analytics team supports the operations of the Fraud and Scams Response Centre, dedicated to safeguarding customer assets from fraud and financial loss.
Skills & Requirements
Must-have
Advanced Analytics and Data Science
SQL and Python proficiency
Machine learning for fraud detection
Fraud detection rule development
Data extraction and analytical modelling
Nice-to-have
Critical thinking and commercial acumen
Communicating insights to senior stakeholders
Continuous improvement through evidence-based decisions
Root cause analysis of fraud trends
Key Requirements
Tertiary qualification in quantitative discipline
Experience applying quantitative techniques to business problems
Hands-on experience with predictive models and machine learning algorithms