Fraud Intelligence Analyst

2 weeks ago


Sydney, Australia Cuscal Full time

Excellent growth opportunities and flexible work environment
- Join us through a time of transformational change
- Conduct intelligence analysis and investigations.

Payment systems are complex, regulated and everchanging. We are an established market leading brand who are focused on driving client growth. We’re at the forefront of innovation punching above our weight. We’re enabling the future for our clients through technology like NPP and Open Banking.

We are an unlisted public company and one of five licensed banks in Australia with full direct connectivity and production capability across all domestic payment systems. Whilst the major banks leverage this capability for their consumer and business clients, our B2B model focuses on enabling other banks, fintech’s and corporates to deliver innovative and competitive payment and digital solutions to their clients and customers

**We are looking for a Fraud Intelligence Analyst to join our Fraud Analytics team.**

Reporting to the Team Leader, Fraud Analytics, this role will be responsible for conducting intelligence analysis and investigations by collaborating with the fraud analytics team and industry intelligence-sharing bodies to identify and develop strategic responses to mitigate against risks posed by new and developing fraud and scam trends.

The role will analyse data sources to mitigate fraud and scam risks. The Analyst will also be accountable for representing Cuscal in industry data-sharing initiatives, including liaising with law enforcement and other scheme members to collaborate in enquiries and investigations and to contribute to related industry forums and discussions.

**Role responsibilities include but not limited to**:

- Manage Cuscal’s membership of (Australian Financial Crime Exchange) AFCX.
- Contribute to AFCX forums and discussions amongst other members to optimise investigation outcomes.
- Proactively initiate investigations with other AFCX members
- Provide support to Fraud Analytics Team by performing intelligence investigations into specific fraud/scam events or observed patterns and emerging trends.
- Recommend methodologies to identify, predict and respond to fraud trends.
- Report investigation outcomes and findings to internal stakeholders and Clients
- Escalation of significant items to management.
- Maintain SLAs and customer commitment plans.
- Maintain a high level of customer service (internal & external).
- Represent Cuscal's interests in various industry and user forum groups as required.
- Represent Cuscal during client forums and webinars as required.
- Key representative for internal projects involving fraud, including new client implementation.

**About You**
- Knowledge of database concepts and standards such as SQL, clustering, modelling, and architecture
- Technical experience deploying fraud monitoring products for behaviour-based fraud detection, forensic analysis and pattern recognition.
- Understanding of law enforcement process, preparing witness statements, providing evidence
- Sound knowledge of digital payment products (NPP, PayTo, Mobile Wallets, etc)
- Sound knowledge of card related products (credit/debit cards, proprietary cards)
- Strong fraud management knowledge relating to retail financial products.
- Understanding of payment channel mechanisms
- Good knowledge of Microsoft Office tools
- Power BI
- Excellent communication skills, written and verbal.
- Proven ability to build and manage strong stakeholder relationships.
- Analytical mindset and the ability to effectively problem solve.
- Demonstrated skills to influence in a collaborative manner.

**Why Cuscal?**

We are in the rapidly evolving world of payments, and we are committed to providing a diverse and inclusive workplace where the very best talent in Australia chooses to work. We support our colleagues with flexible work arrangements through our hybrid model whilst also offering a wide range of educational, financial, lifestyle, health & wellbeing benefits.

**Next Step



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