Senior Fraud Analyst Advanced Analytics

• Flexible working, hybrid environment, and central offices

• Inclusive team where diverse perspectives are valued

• Access to world-class learning, technology tools and analytics teams ​​

See Yourself in the Team

Fraud Analytics within the Chief Operations Office Data AI Analytics - Fraud CoE are responsible for developing, maintaining and enhancing the fraud detection systems, algorithms and reporting engines across CommBank and Bankwest, strengthening detection capability through intelligent automation, emerging trend analysis, advanced modelling and stakeholder reporting.  

In practice, the team sit at the heart of day-to-day fraud and scams defence, maintaining and evolving the fraud rule detection suite, creating new detection logic at pace, and partnering closely with stakeholders as products, channels and customer behaviours change.

Our work is customer-critical. We balance strong fraud and scams protection with the need to minimise friction for genuine customers, using intelligent automation, emerging trend analysis, advanced modelling and stakeholder reporting to strengthen detection capability. The team are also evolving towards leveraging modern analytics platforms, and creating opportunities to influence how fraud analytics is delivered into the future.

Your Impact & Contribution

As a Senior Advanced Analytics Analyst – Fraud Analytics, you’ll help develop, optimise and maintain fraud detection strategies across assigned portfolios. You’ll use data, coding, statistical reasoning and stakeholder insights to translate emerging fraud and scam trends into practical detection logic and reporting. You’ll contribute to the fraud rule detection suite used to detect, prevent and disrupt fraudulent and scam activity, including decisioning outcomes such as holds, declines, alerts and customer push notifications. In this role, you may expect to:

• Build, test and optimise fraud detection rules, logic and analytical solutions
• Analyse emerging fraud and scam patterns, incidents and trends to identify detection opportunities
• Translate insights into detection strategy changes that can be delivered at pace
• Use SQL and Python to extract, manipulate and analyse complex datasets
• Support rule optimisation to improve detection effectiveness while reducing false positives and unnecessary customer friction
• Partner with stakeholders across Digital, Scams, CommBiz, CommSec and other portfolios to understand product and channel changes that may introduce new fraud vectors
• Help identify, onboard and enrich data signals that improve fraud and scam detection capability
• Develop reporting, dashboards and self-serve insights to support decision-making and operational outcomes
• Contribute to weekly and monthly reporting rhythms, ensuring insights are clear, actionable and decision-ready
• Apply strong documentation, quality control and governance practices to ensure analytical solutions are robust and repeatable
• Contribute to continuous improvement across detection performance, alert volumes, customer experience and operational efficiency

Your Skills & Experience 

The ideal candidate will bring strong analytical capabilities, including rule logic, statistical reasoning and structured problem-solving in fast-moving environments. In addition, we're seeking a candidate who brings;

• Strong coding capability in SQL and Python, with experience working across complex datasets and translating data into practical insights, detection logic or business recommendations.
• Experience with SAS, particularly if paired with a willingness to learn and work with modern cloud-based analytics tools and platforms.
• Strong stakeholder engagement skills, with the confidence to work across product, channel, operations and fraud stakeholders.
• Fraud or scams domain experience ideally, though it's not an essential requirement. Strong analytics experience, curiosity, learning agility and the ability to work at pace in a customer-critical environment are just as important.

Working with Us

At CommBank, you’ll be part of a team that use data, analytics and technology to solve meaningful problems for customers and communities.

We support flexible working, career growth and access to leading tools, learning and analytics capability. You’ll join an inclusive environment where diverse perspectives are valued, and where your work will directly contribute to protecting customers and strengthening trust in the banking system.