Fraud and Scam Network Search Data Analyst
2 days ago
**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 Data Analyst, you will work with the Senior Analyst and 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.
**We’re Looking for People Who Have**
- An interest in fraud intelligence, scam detection and prevention.
- Practical experience with statistical and social network analysis is essential to uncover complex fraud and scam patterns.
- Strong attention to detail and the ability to translate risks and opportunities into actionable insights.
- Excellent communication, and interpersonal skills.
- At minimum, a Bachelors degree in Statistics, Mathematics or Actuarial Studies (or similar).
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Advertising End Date: 05/10/2025
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