• You are a curious and enthusiastic individual with a true passion for analytics and have a background in Network Analysis
• We are a committed and high performing team focused on modelling risk scores and network clusters under SPF framework
• Together we will deliver faster and simpler customer outcomes through the innovative use of data

See Yourself in the Role

As the Fraud & Scams Network Senior Data Analyst, you will work with the Manager in the design, development, and execution of network-based search capabilities across the Group. Your work will drive investigations, generate insights, and help identify potential victims of coordinated scam activities. You’ll also play a key role in optimising search parameters, automating processes, and enhancing team efficiency to strengthen our fraud prevention efforts.

Do Work That Matters

Join a high-performing, purpose-driven team committed to protecting customers and the broader community from fraud and scams. Our team leads prevention efforts through verification, investigations, intelligence sharing, disruption, loss recovery, and law enforcement collaboration.

  

Key Responsibilities

• Design and operationalise network search capabilities in line with regulatory requirements.
• Identify scam typologies and behavioural patterns across digital channels, linking data points (e.g., URLs, wallets, IPs) to uncover coordinated fraud.
• Assess consumer impact and prioritise investigations based on risk and our investigative processes.
• Develop and implement proactive fraud countermeasures and generate actionable intelligence for internal and external stakeholders.
• Collaborate with Operations, Analytics, Capability and Governance teams to deploy strategic and tactical controls.
• Communicate findings clearly to your Manager

We’re Looking for People Who Have

• Proven experience in Fraud Intelligence, or Analytics, with expertise in scam detection and prevention.
• Practical experience with statistical and social network analysis to uncover complex fraud and scam patterns.
• Strong attention to detail and the ability to translate risks and opportunities into actionable insights.
• Fluent in various coding and modelling languages and techniques.
• Excellent communication, and interpersonal skills.
• A solutions-focused mindset with a strong foundation in data-informed decision-making.
• At minimum, a Bachelors degree in Statistics, Mathematics or Actuarial Studies (or similar).

Advertising End Date: 05/10/2025