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About the Role
Bring data, analytics, and technology together to solve complex fraud problems by analyzing large datasets to uncover fraud patterns, trends, and emerging risks.
Responsibilities
- Develop and refine analytical, predictive, and machine learning solutions for fraud detection, risk assessment, and operational decision-making.
- Apply generative AI and AI-assisted development tools to explore new problem-solving approaches and enhance fraud capabilities.
- Build practical analytics products, including dashboards, reporting, and reusable analytical solutions.
- Partner with Fraud Operations and Risk teams to identify automation and optimization opportunities.
- Maintain high-quality, reusable analytical code and documentation using version control.
- Communicate insights and recommendations clearly to diverse stakeholders.
- Continuously learn and stay updated on analytics, machine learning, generative AI, and cloud technologies.
Requirements
- Commercial experience in data analytics, data science, or a related quantitative discipline.
- Experience turning data into insights and practical solutions.
- Strong SQL and Python or R capability.
- Experience working with large and complex datasets.
- Experience with statistical analysis, predictive modelling, or machine learning.
- Interest in applying analytical techniques to real-world problems.
- Exposure to generative AI or AI-assisted development tools.
- Willingness to experiment with emerging technology.
- Experience with version control, such as GitHub.
- Appreciation for clean, reusable, and well-documented analytical code.
- Familiarity with modern cloud data platforms (AWS, Snowflake, Azure, Google Cloud, or Databricks).
- Strong problem-solving and communication skills.
- Ability to translate complex analytical concepts into clear recommendations.
Skills
- Data Analytics
- Data Science
- SQL
- Python
- R
- Statistical Analysis
- Predictive Modelling
- Machine Learning
- Generative AI
- AI-assisted development
- Version Control (GitHub)
- Cloud Data Platforms (AWS, Snowflake, Azure, Google Cloud, Databricks)
Location
- Sydney
- Melbourne
Work Type
- Full-time
Experience Level
- Commercial experience
About the Company
- The Cards Fraud and Scams team is a dynamic and inclusive group of fraud specialists working to detect, prevent, and respond to fraud across various products.
- We use data-driven insights, advanced systemic rules, cloud technologies, and AI tools to identify suspicious activity and keep customers and communities safe.
- We partner closely with fraud operations, risk specialists, and stakeholders across the Group.
- We are committed to creating an accessible, inclusive, and respectful workplace.
- We welcome applications from people of all backgrounds and are committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples.
Equal Opportunity
- We are committed to creating an accessible, inclusive and respectful workplace.
- 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.