Senior Analyst, Applied AI & Automation

Junee Southern Cross; Australia; A distancia; AUD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Commonwealth Bank Group in Australia is building an emerging People Capability Automation team to transform QA in fraud and scams using analytics, AI and agentic automation.

You’ll design agentic AI workflows, prototype solutions, and work with Risk, Product, Technology and Analytics teams to implement measurable, reliable, governed outcomes.

Formación

• Strong hands-on analytics with SQL and Python across structured/unstructured data.
• Experience applying classification, predictive analytics, ML to real-world problems.
• Design solutions using Generative AI and LLMs, not just tools.
• Develop agentic or multi-step AI workflows with orchestration and tools.
• Apply NLP to unstructured text for insights.
• Understand AI evaluation, reliability and reducing hallucinations.
• Familiar with agentic frameworks like LangChain, LangGraph, Copilot Studio, etc.
• Know Git/version control, APIs and collaborative AI environments.
• Excellent stakeholder communication and translating AI concepts.

Responsabilidades

• Design and build agentic AI solutions that automate and enhance QA in fraud and scams.
• Explore where LLMs and automation can replace or augment manual QA processes.
• Develop and orchestrate multi-step AI workflows that reason across data and tools.
• Use SQL and Python to explore and analyze complex datasets.
• Apply NLP, classification and ML to complement agentic solutions.
• Prototype and evaluate new approaches with measurable outcomes.
• Design testing frameworks to measure performance and reduce hallucinations.
• Collaborate with Fraud Analytics, QA, Product, Technology and Risk to implement ideas.

Conocimientos

Strong analytical thinking

Problem solving

Stakeholder communication

Applied AI capability

Experimentation

Prototyping

Data interpretation

Creative thinking

Herramientas

SQL

Python

LangChain

LangGraph

Semantic Kernel

AutoGen

Copilot Studio

Git

APIs

Descripción del empleo

• Build intelligent automation with agentic AI
• Shape a new AI automation capability
• Transform Fraud and Scams quality assurance

See Yourself in the Team

The Fraud, Scams & Cyber Data, Analytics and AI team brings together data, analytics and emerging AI capabilities to help protect our customers and the Group from increasingly sophisticated threats. Working across complex customer, operational and risk environments, the team uses data and technology to generate deeper insights, strengthen decision-making and develop smarter, more scalable ways of detecting, preventing and responding to fraud and scams.

You’ll join the People Capability Automation team, an emerging capability focused on exploring how analytics, AI and intelligent automation can transform traditionally manual processes across Fraud and Scams. Reporting to the People Capability Automation Lead, you’ll be part of the foundational team helping shape how the capability evolves — bringing ideas, experimenting with new approaches and building solutions that combine strong analytical foundations with the possibilities created by Generative and agentic AI.

With an initial focus on Quality Assurance, you’ll work closely with specialists across Fraud Analytics, Operations, Technology, Risk and AI to explore how customer interactions, operational data and existing processes can be better analysed and automated. This is an opportunity to help build something from the ground up, applying emerging technology to real operational challenges while ensuring solutions remain measurable, reliable and appropriately governed.

Your Impact & Contribution

This is a unique role where you’ll combine analytics, data science and agentic AI to help transform quality assurance across fraud and scam operations. Working with communications and interaction data, call transcripts, case management information and operational datasets, you’ll explore how LLMs, intelligent agents and agentic workflows can transform traditionally manual QA processes, from classifying fraud and scam scenarios and assessing conversation quality through to evaluating process adherence and surfacing actionable insights.

Partnering with Fraud Analytics, Quality Assurance, Product and Technology teams, you'll help shape how agentic AI can be applied to improve quality, identify risks and translate promising concepts into practical, scalable solution, You’ll combine strong foundations in analytics with hands-on applied AI capability, using SQL and Python alongside LLMs, classification models, NLP and agentic orchestration frameworks to design workflows that can reason across information, interact with data and tools, and coordinate tasks across the QA lifecycle while maintaining appropriate human oversight.

You’ll also play an important role in determining whether these solutions genuinely work, developing evaluation approaches, testing model and agent behaviour, improving reliability, reducing hallucinations and translating AI outputs into clear, defensible recommendations for operational, risk and technology stakeholders.

In summary, you may expect to:

• Design and build agentic AI solutions that automate and enhance elements of the Fraud and Scams quality assurance lifecycle.
• Explore where LLMs, agents and intelligent automation can replace or augment manual QA processes and help shape the solution approach.
• Develop and orchestrate multi-step AI workflows that can reason across unstructured information, interact with data and tools, and coordinate tasks.
• Use SQL and Python to explore, prepare and analyse complex customer, interaction, case and operational data.
• Apply NLP, classification, predictive analytics and machine learning where appropriate to complement agentic solutions.
• Prototype and evaluate new approaches, determining what works before developing scalable and reusable solutions.
• Design testing and evaluation frameworks to measure performance, identify failure modes and improve the reliability of AI outputs.
• Partner with Fraud Analytics, Quality Assurance, Product, Technology and Risk specialists to take ideas from problem definition and experimentation through to implementation and continuous improvement.

Your Skills & Experience

You’ll be a curious and solution-oriented analytics professional who combines strong foundations in data and analytics with hands-on Applied AI capability. You thrive working with ambiguous problems, experimenting with emerging technologies and finding practical ways to turn ideas into reliable, scalable solutions. The ideal applicant will be comfortable interrogating complex data to understand what is happening and why, and exploring how AI, automation and intelligent agents can transform the way that work is performed.

In summary, you’ll bring:

• Strong hands-on analytics capability with SQL and Python, with experience extracting, preparing, analysing and interpreting complex structured and unstructured datasets.
• Strong foundations in analytics and data science, with experience applying techniques such as classification, predictive analytics, statistical modelling or machine learning to solve real-world problems.
• Practical experience designing and building solutions using Generative AI and LLMs, rather than solely consuming AI tools.
• Experience developing agentic or multi-step AI workflows, including orchestration, reasoning, retrieval, tool use or interaction between AI agents, data and systems.
• Experience applying NLP, conversation analytics or LLMs to classify, evaluate or extract meaningful insights from unstructured text.
• An understanding of AI evaluation and reliability, including testing model and agent behaviour, measuring performance, identifying failure modes and reducing hallucinations.
• Experience with Copilot Studio, LangGraph, LangChain, Semantic Kernel, AutoGen or similar agentic and orchestration frameworks would be highly valuable.
• Familiarity with modern development practices, including Git/version control, APIs and collaborative or AI-assisted development environments.
• A strong innovation and solution-design mindset, with the curiosity to challenge existing approaches, rapidly prototype ideas and determine where analytics, AI or automation can deliver a better outcome.
• Strong stakeholder and communication skills, with the ability to translate ambiguous business problems into technical solutions and explain complex analytical and AI concepts clearly to technical and non-technical audiences.
• Experience in fraud, scams, financial crime, quality assurance, risk, compliance or controls testing would be beneficial, but the priority is strong analytics and Applied AI capability with the ability to build solutions that are reliable, measurable and fit for purpose.

Working With Us

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