Job Description

**Our client’s success is our success. And you make it happen ** Payment systems are complex, regulated and ever-changing. And, while we may be small, we are at the forefront of innovation punching above our weight. We’re enabling the future for our clients through tech like NPP (New Payment Platform), buy now, pay later, and open banking.    Our product teams are the eyes and ears of Cuscal. They’re client-focused relationship managers, serving everything from business development, marketing, fraud, and customer support. They work out what clients need, so we can build it and launch it… often, in months, not years.    **We are looking for a Fraud Analyst to join our Financial Crime Team.  ** As payment methods evolve, so too do the efforts of criminals in their attempts to defraud businesses and consumers. From sophisticated online scams to identity theft and phishing. We’re looking for a Fraud Analyst who can protect our clients by analysing multiple data sets to prevent high-risk, fraudulent activity and emerging threats across payments and digital banking channels 

**About the Role: **

• Proactive analysis of multiple data sets to prevent high-risk and fraudulent activity and emerging threats across multiple channels, including cards, 3D secure, digital wallets, real-time payments, digital, account-to-account payments (BPay and Direct entry) and PayTo.  
• Detection of fraudulent activities at the earliest opportunity, deploying fast and effective fraud rule mitigants. 
• Utilise network analysis and investigative techniques to understand, detect and mitigate money mule activity.   
• Use transactional analysis to conduct merchant reviews and ongoing risk monitoring, partnering with our clients to assess fraud and scam risks. 
• Conduct trend analysis across the fraud detection systems and realign detection capabilities with various structured and unstructured data.  
• Provide insights to management and client advisory roles, such as current fraud typologies and trends to support client and internal engagement activities.

**About You: **

• Tertiary qualification in data analytics, financial crime or criminology  
• Advanced knowledge of Data visualisation tools such as Power BI   
• Proven experience in Databricks and SQL  
• Demonstrated Experience making recommendations through data driven insights  
• Experience using fraud detection systems, including rule writing is highly regarded