CommBank

Banking

SeniorFraudAnalystAdvancedAnalytics

Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Fraud Analyst Advanced Analytics at CommBank. Skills: SQL, Python, Fraud detection, Analytics. Develop, maintain and enhance fraud detection systems. Strengthen detection capability”

What You'll Achieve.

strengthening detection capability; strengthen detection capability; improve detection effectiveness; reducing false positives; reducing unnecessary customer friction; improve fraud and scam detection capability; support decision-making and operational outcomes; detection performance; alert volumes; customer experience; operational efficiency

Industry & Context.

Banking
Problems you'll solve

structured problem-solving; translating data into practical insights; optimise fraud detection strategies; Analyse emerging fraud and scam patterns; identify detection opportunities; Translate insights into detection strategy changes; Support rule optimisation; improve detection effectiveness; reducing false positives; reducing unnecessary customer friction; Help identify, onboard and enrich data signals; improve fraud and scam detection capability

What They're Looking For.

Must Have

SQL, Python, coding capability in SQL and Python, experience working across complex datasets, translating data into practical insights, detection logic, business recommendations, analytics experience, curiosity, learning agility, ability to work at pace

Nice to Have

SAS, willingness to learn and work with modern cloud-based analytics tools and platforms, stakeholder engagement skills, confidence to work across product, channel, operations and fraud stakeholders, Fraud or scams domain experience

What You'll Do.

maintain and enhance fraud detection systems

Strengthen detection capability

Maintain and evolve fraud rule detection suite

Create new detection logic

Partner closely with stakeholders

Balance fraud and scams protection

Minimise friction for genuine customers

optimise and maintain fraud detection strategies

Translate emerging fraud and scam trends

Contribute to fraud rule detection suite

quality control and governance practices

Contribute to continuous improvement

How You'll Work.

Team & Collaboration

Partner with stakeholders across Digital, Scams, CommBiz, CommSec; Work across product, channel, operations and fraud stakeholders

Full Job Description

* **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 fr

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