Join as an Analyst, Fraud Prevention Detection and play a key role in stopping fraud and scams. You’ll turn data into action detecting emerging risks, building effective rules, and delivering insights that protect customers and minimise losses. Ideal for someone who thrives on fast-paced problem solving and driving smarter, stronger fraud controls.

• Opportunity for an analytical thinker with a passion for data and problem solving.
• Bring your ability to proactively problem solve and identify strategies and solutions to prevent and detect fraud.
• Make a real difference through the work you do for our customers and communities.  

Our people are customer obsessed. They prioritise the needs and satisfaction of the customer above all else.  Our mindset fosters innovation and creates strong, lasting customer relationships as we strive to be the most customer centric company in Australia and New Zealand. 

In the role of an Analyst, you will join the Fraud Prevention & Detection team that’s doubling down on protecting the community and our customers.  

Each day, you’ll go above and beyond to:  

• Analyse fraud and scam data to identify trends, patterns and emerging risks, improving detection performance and loss outcomes.
• Design, build and test fraud rules, reporting and visual analytics aligned to business priorities.
• Deliver clear insights and recommendations to support fraud prevention decisions and customer protection.
• Drive continuous improvement through process optimisation, automation and stakeholder collaboration.
• Contribute to fraud policies, incident resolution and ensure compliance with ethical, audit and regulatory standards.

We’re looking for the best and brightest to deliver the best for our customers. You’ll need:  

• Experience in fraud and scam prevention and detection, with broader exposure to financial crime and risk considered an advantage.
• A demonstrated interest in coding and database analysis.
• Exposure to database analysis, reporting and application programming (including, but not limited to PowerBI, Tableau, SQL, Splunk, Python, R, Java).
• Strong analytical and problem-solving skills, with the ability to turn data into clear, actionable insights.
• Clear written and verbal communication skills, with a mindset focused on innovation and continuous improvement.

A diverse and inclusive workplace works better for everyone 

We know that our people make us who we are. That’s why we have built a culture of equity and respect - where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs), we continue to foster an inclusive environment, where all NAB colleagues’ unique backgrounds and identities are understood, respected and celebrated. We are committed to providing an environment where you can work your way. 

For details on the recruitment process, and accessibility, or alternate methods to apply for this role, please visit https://www.nab.com.au/about-us/careers/apply-for-job. To discuss adjustment requirements, please contact the NAB Careers team via nab.careers@nab.com.au (please reference job number) or visit our Careers page through the link above for other contact options. 

Join NAB 

If you think this role is the right fit for you, we would love to hear from you. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert. Unsolicited CVs from agencies will not be accepted.