Advanced Analytics Analyst, Card Fraud

Commonwealth Bank; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Commonwealth Bank in Sydney or Melbourne is seeking an Advanced Analytics Analyst to apply data science, ML and AI to fraud detection and customer protection. The role blends hands-on analytics with business insights to deliver practical tools for fraud teams.

The 12-month opportunity offers exposure to cloud platforms, AI-assisted development and high-impact analytics initiatives aimed at accelerating your career within a growing, inclusive environment.

Qualifications

• Proven commercial experience in data analytics, data science or a related field.
• Skills in Python or R, together with SQL.
• Experience using GitHub or a similar version-control platform.
• Exposure to machine learning, generative AI or AI-assisted development tools.
• Familiarity with cloud data platforms such as AWS, Snowflake, Azure, Google Cloud or Databricks.
• Strong problem-solving and stakeholder communication skills.
• The ability to work collaboratively in a fast-paced environment.

Responsibilities

• Analyse data to identify fraud trends, patterns and emerging risks.
• Develop and refine analytical, machine-learning and AI solutions.
• Enhance Cards Fraud Copilot tools and AI agents that support operational teams.
• Partner with fraud operations to identify automation and optimisation opportunities.
• Translate business problems into clear analytical approaches and measurable outcomes.
• Maintain reusable code and documentation using version-control practices.
• Communicate insights and recommendations to technical and non-technical stakeholders.

Skills

Data analytics

Data science

Python

SQL

GitHub

Cloud platforms

Machine learning

Tools

GitHub

AWS

Azure

Snowflake

Databricks

Job description

Sydney or Melbourne location

• Use analytics, machine learning and AI to help protect customers from fraud and scams.


• Build practical solutions in a collaborative, fast-moving fraud environment.


• Work with modern cloud platforms and AI-assisted development tools.

Initial 12-month opportunity with a view to permanency, offering the chance to work on high-impact advanced analytics initiatives and accelerate your career in a growing team.

Do Work That Matters

Join our Cards Fraud and Scams team and use data, machine learning and generative AI to help protect customers from evolving threats.

As an Advanced Analytics Analyst, you’ll uncover fraud patterns, deliver actionable insights and develop solutions that improve fraud detection, operational efficiency and customer outcomes. You’ll combine hands‑on technical work with a strong understanding of business needs, helping turn new ideas into practical tools for our fraud teams.

See yourself in our team

Our Cards Fraud and Scams team is a dynamic and inclusive group of fraud experts working together to detect, prevent and respond to fraud and scams. We use data‑driven insights, cloud technologies and advanced AI tools to help keep our customers and communities safe.

You will

• Analyse data to identify fraud trends, patterns and emerging risks.


• Develop and refine analytical, machine-learning and AI solutions.


• Enhance Cards Fraud Copilot tools and AI agents that support operational teams.


• Partner with fraud operations to identify automation and optimisation opportunities.


• Translate business problems into clear analytical approaches and measurable outcomes.


• Maintain reusable code and documentation using version‑control practices.


• Communicate insights and recommendations to technical and non‑technical stakeholders.

We’re interested in hearing from people who

You’ll bring curiosity, sound analytical thinking and a growth mindset. You’ll be comfortable learning new technologies and developing your knowledge of fraud and scams while contributing practical ideas that solve real business problems.

Ideally, you will have

• Proven commercial experience in data analytics, data science or a related field.


• Skills in Python or R, together with SQL.


• Experience using GitHub or a similar version-control platform.


• Exposure to machine learning, generative AI or AI-assisted development tools.


• Familiarity with cloud data platforms such as AWS, Snowflake, Azure, Google Cloud or Databricks.


• Strong problem‑solving and stakeholder communication skills.


• The ability to work collaboratively in a fast‑paced environment.

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.

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Advertising End Date: 16/09/2026