AI Operations Enablement Analyst - EOI at Commonwealth Bank
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

09 Oct, 25

Salary

0.0

Posted On

09 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Power Bi, Information Systems, Data Science, Business Analytics, Excel

Industry

Information Technology/IT

Description
  • Based in Sydney, on a maximum contract.
  • Role is open to PT or FT hours for the right candidate.
  • We encourage junior forward-thinking AI enthusiasts to apply!
Responsibilities

ABOUT THE ROLE

We’re looking for junior forward-thinking AI Operations Enablement Specialists to help shape the future of work by embedding AI, automation, and data science into our operational DNA.
This role is ideal for someone passionate about building and testing AI tools, analysing fraud/scam data, and exploring cutting-edge technologies to accelerate innovation and compliance.

KEY RESPONSIBILITIES

  • Design, build, and test lightweight AI solutions (e.g. GenAI prompts, dashboards, copilots) to support evolving compliance and operational needs.
  • Identify and automate repetitive tasks in fraud/scam workflows using AI tools to improve efficiency and reduce manual effort.
  • Fine-tune LLM prompts and design intelligent workflows that enhance decision-making and user experience.
  • Connect APIs and data sources to build trend dashboards and real-time alert systems that surface emerging risks and opportunities.
  • Use data science libraries and techniques (e.g. clustering, predictive analytics) to uncover insights and support proactive fraud detection.
  • Analyse fraud and scam data using Excel, Power BI, or Python to uncover trends and inform strategic decisions.
  • Partner with cross-functional teams to identify opportunities for AI-driven automation and process improvement.
  • Stay abreast of emerging AI technologies and assess their applicability to workforce enablement and fraud mitigation.
  • Ensure all AI tools and data practices align with ethical, privacy, and compliance standards.
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