Our people are customer‐obsessed. They prioritise the needs and satisfaction of the customer above all else, fostering innovation and creating strong, lasting customer relationships as we strive to be the most customer‐centric company in Australia and New Zealand.
In this role, you will join the Fraud Prevention & Detection team that's doubling down on protecting the community and our customers.
Responsibilities
* Analyse data to identify fraud patterns, behaviours and emerging risks
* Develop, test and refine rules, models and analytical approaches
* Support deployment of analytics into operational systems and controls
* Monitor model and rule performance and identify uplift opportunities
* Work with Fraud Operations, Technology and Risk to deliver outcomes
* Apply fraud intelligence and typologies to improve approaches
* Communicate insights clearly to stakeholders
* Ensure alignment with risk, governance and regulatory requirements
Qualifications
* Strong data analytics capability, applying statistical techniques to fraud use cases
* Understanding of fraud typologies, behaviours and risk across customer journeys
* Extensive data science / analytics experience in financial services with a fraud focus
* Proven delivery of models at scale with measurable outcomes
* Strong technical capability across modelling and analytics tools
* Ability to translate data into practical insights for prevention and detection outcomes
* Experience working with large datasets to identify patterns and trends
* Stakeholder engagement across Fraud Operations, Technology and Risk
Workplace Culture
A diverse and inclusive workplace works better for everyone. We have built a culture of equity and respect where everyone feels valued and appreciated for being their authentic selves. In partnership with multiple Employee Resource Groups (ERGs), we continue to foster an inclusive environment, respecting and celebrating all colleagues' unique backgrounds and identities.
We are committed to providing an environment where you can work your way.
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