Fraud Analytics Specialist - AI/ML & Cloud (12-Month)

CommBank; Sydney; On-site; AUD 110,000 - 160,000; Full time

Job summary

CommBank is seeking an Advanced Analytics Analyst to help protect customers from fraud and scams using data, machine learning and AI. The role focuses on developing practical tools in a fast-moving fraud environment and leveraging cloud platforms.

You will analyse data to identify fraud trends, build ML solutions and refine AI agents that support frontline operations. You’ll collaborate with fraud teams and communicate insights to diverse stakeholders.

Qualifications

• Experience in data analytics or data science.
• Proficiency with Python or R and SQL.
• Experience with GitHub or version-control.

Responsibilities

• Analyse data to identify fraud trends and risks.
• Develop and refine ML and AI solutions.
• Enhance Copilot tools and AI agents for operations.
• Collaborate with fraud operations to identify automation opportunities.
• Translate business problems into measurable analytical outcomes.
• Maintain reusable code and documentation with version control.
• Communicate insights to technical and non-technical stakeholders.

Skills

Data analytics

SQL

Python

R

GitHub

Cloud platforms

Tools

Snowflake

AWS

Azure

Google Cloud

Databricks

Job description

CommBank is seeking an Advanced Analytics Analyst to help protect customers from fraud and scams using data, machine learning and AI. The role focuses on developing practical tools in a fast-moving fraud environment and leveraging cloud platforms.

You will analyse data to identify fraud trends, build ML solutions and refine AI agents that support frontline operations. You’ll collaborate with fraud teams and communicate insights to diverse stakeholders.