Data Analyst
vor 2 Monaten
This is a Data Analyst - Financial Crime role with one of the leading companies in AU right now 🔥 -- Cuscal Limited -- with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the 🚀 takes off.
More About the Role at Cuscal Limited 🧐🧐
## **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 Financial Crimes Data 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 Financial Crimes Data Analyst to champion data-driven insights for the financial crimes domain, leveraging high volumes of data and storytelling expertise to support risk mitigation strategies. **About the Role: ** - Provide data visualisation expertise using Power BI, including data modelling. - Drive the implementation and validation of new and emerging data sets, including the validation of proficiency of AI and Machine learning models. - Provide insights to management and stakeholders, such as current fraud typologies and trends to support client and internal engagement activities. - Represent financial crime analytics while partnering with Data Engineers and stakeholders regarding data requirements. - Validate fraud controls implemented by clients to ensure adherence to the Cuscal Fraud Management Program. - Document, deliver and refine process and procedures to create accurate and efficient insights. - Conduct merchant reviews for onboarding requests and ongoing risk monitoring, partnering with our clients to assess fraud and scam risks in clients onboarding their customers. **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
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