Data Analyst - Financial Crime

Sydney, Australia

Cuscal

Cuscal is a payments & regulated data services provider in Australia. Since 1966 we have enabled banks, corporates and fintechs to better serve and connect with their customers.

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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 

Join us at the forefront of payments 
   
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 
If you think this role is the right fit for you, we invite you to apply. Let’s explore who you are and what drives you. We’d love to share our vision for the future of the payments sector. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert. 
     
Cuscal does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Cuscal employee, location or address. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Banking Data Analytics Databricks Machine Learning ML models Power BI SQL

Perks/benefits: Career development Health care

Region: Asia/Pacific
Country: Australia

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