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.
*** Fixed Term 12 month opportunity ***
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:
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.
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.
Skills Required
- Experience in data analytics, data science, or a related field
- Skills in Python or R and 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
- Ability to work collaboratively in a fast-paced environment
Commonwealth Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Commonwealth Bank and has not been reviewed or approved by Commonwealth Bank.
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Leave & Time Off Breadth — The bank offers additional Life Leave, the option to purchase up to four extra weeks, pet leave, and paid volunteering leave alongside flexible-working options. Public materials indicate these leave features compare well within Australian banking.
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Parental & Family Support — Permanent employees can access up to 18 weeks of paid parental leave, and superannuation is paid for up to 34 weeks of unpaid parental leave. These provisions extend support for new parents beyond standard settings.
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Wellbeing & Lifestyle Benefits — Access includes CBHS Health Fund, Fitness Passport, a 24/7 wellbeing platform with telehealth, an Employee Assistance Program, and employer‑paid income protection for up to two years, alongside staff banking perks and share plans. This combination provides day‑to‑day value across health, protection, and financial perks.
Commonwealth Bank Insights
What We Do
Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.
