- Work with world class analytics teams, tools and technologies
- Build practical solutions that serve and protect millions of Australians
- Limitless learning in an agile, team-oriented and innovation led environment

See Yourself in the Team The Cards Fraud and Scams team are a dynamic and inclusive group of fraud specialists working together to detect, prevent and respond to fraud across credit, debit, prepaid, travel money and merchant products.

We use data-driven insights, advanced systemic rules, cloud technologies and AI tools to identify suspicious activity, understand emerging threats and help keep our customers and communities safe. Working in a 24/7 environment, we partner closely with fraud operations, risk specialists and stakeholders across the Group to respond to incidents, understand trends and proactively mitigate fraud risk.

You’ll be part of a team where curiosity is valued, recent ideas are encouraged and there are opportunities to apply emerging technology to real-world problems.

Your Impact & Contribution

You’ll bring data, analytics and technology together to help solve complex fraud problems. In this role, you’ll analyse large and complex datasets to uncover fraud patterns, trends, emerging risks and opportunities to improve detection and prevention. To achieve this, you may expect to:

- Develop and refine analytical, predictive and machine learning solutions that support fraud detection, risk assessment and operational decision-making.
- Apply generative AI and AI-assisted development tools to explore new ways of solving problems, improving productivity and enhancing fraud capabilities.
- Build practical analytics products, including dashboards,



reporting and reusable analytical solutions that turn complex information into clear, actionable insights.
- Partner closely with Fraud Operations and Risk teams to understand business problems, identify automation and optimisation opportunities and translate them into measurable analytical solutions.
- Maintain high-quality, reusable analytical code and documentation, using GitHub or similar version-control practices to support sustainable development.
- Communicate insights and recommendations clearly, tailoring your approach for technical specialists, fraud experts and non-technical stakeholders.
- Stay curious and continuously learn, keeping pace with developments across analytics, machine learning, generative AI and cloud technologies and identifying opportunities to apply them to fraud challenges.

Your Skills & Experience

You’ll be a curious and analytical problem solver who enjoys working with data, learning new technologies and applying your skills to meaningful business problems. You’ll bring:

- Commercial experience in data analytics, data science or a related quantitative discipline, with experience turning data into insights and practical solutions.
- Strong SQL and Python or R capability, with experience working with large and complex datasets.
- Experience with statistical analysis, predictive modelling or machine learning,



and an interest in applying these techniques to real-world problems.
- Exposure to generative AI or AI-assisted development tools, with a willingness to experiment and find practical applications for emerging technology.
- Experience with version control, such as GitHub, and an appreciation for clean, reusable and well-documented analytical code.
- Familiarity with modern cloud data platforms, such as AWS, Snowflake, Azure, Google Cloud or Databricks.
- Strong problem-solving and communication skills, with the ability to translate complex analytical concepts into clear recommendations.

- Sydney or Melbourne based considered.

Working With Us

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds, and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support, please contact 1800 989 696.

If this opportunity excites you, we’d love to hear from you. Apply now and help shape smarter ways to protect our customers and communities.

If you're already 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.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 09/10/2026

📌 Advanced Analytics Analyst - Card Fraud & Scams Analytics (Sydney)
🏢 Commonwealth Bank
📍 Sydney