Overview
You are a curious and enthusiastic Senior Analyst with a true passion for Data and Analytics.
We are a close-knit team who use data to develop and enhance the Group's fraud detection systems, algorithms, and reporting engines. Together we will develop detection strategies and analytic solutions to help protect our customers from falling victim to fraud and scam events.
The Fraud Data Analytics team, part of the Chief Data and Analytics Office, is the backbone of fraud detection for the Group. We support the operations of Fraud and Scams Response Centre, dedicated to safeguarding the monetary assets of CBA and Bankwest customers from fraud and financial loss.
Responsibilities
* Proactively identifying fraud trends through detecting and combating emerging fraud patterns, ensuring our customers and assets are protected.
* Analysing customer-detected fraud and crafting new rules to prevent similar incidents, staying one step ahead of fraudsters.
* Maintaining and enhancing our fraud detection rule suite, supporting the Group Fraud Operations team with effective alert management and minimising false positives.
* Perform comprehensive data analysis to inform and support critical business decisions, ensuring we stay ahead in the fight against fraud.
* Providing valuable insights into trends and anomalies through root cause analysis.
Qualifications
* Demonstrated expertise in Advanced Analytics and/or Data Science, with experience applying quantitative techniques to real‐world business problems.
* Strong commercial proficiency in SQL and Python, applied to large-scale data extraction, transformation, and analytical modelling.
* Proven knowledge of machine learning techniques and their practical application in the detection, prevention, and mitigation of fraudulent activity.
* Highly developed critical thinking and commercial acumen, with the ability to frame, structure, and solve complex problems using data-driven methodologies.
* Ability to synthesize complex analytical insights and communicate clear, concise recommendations to senior stakeholders through both written and verbal briefings.
* Confident in constructively challenging existing approaches and driving continuous improvement through evidence-based decision-making.
* Hands-on experience in the development, validation, and deployment of predictive models and machine learning algorithms to forecast trends, identify risks, and uncover opportunities.
* A tertiary qualification in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Science, or Actuarial Studies) is highly regarded.
If you are part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.
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