Key Responsibilities:

• Develop, manage, and optimize ETL processes using Azure Data Factory to ensure accurate data integration across global databases.
• Design, build, and maintain Microsoft SQL Server databases, ensuring data is well-organized, accessible, and secure.
• Identify and implement performance optimization strategies for ETL processes and reports to ensure optimal user experience.
• Support data-related development and automation initiatives in Power Automate. Experience in Power Apps is a plus.
• Monitor and troubleshoot data processes to ensure uninterrupted service to global teams, including working occasionally outside regular business hours to support multiple time zones.
• Create and maintain comprehensive documentation for processes, solutions, and best practices. Ensure data governance and compliance principles are maintained.
• Communicate technical information to non-technical stakeholders effectively, tailoring the messaging as needed for diverse audiences.
• Collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.

We are looking for a Senior Data Scientist to join our innovative team and lead key projects involving machine learning, time series forecasting and LLMs. You will have a solid mathematical foundation and proven experience in developing and deploying production-level code.

Key Responsibilities:

• Lead the design, development, and implementation of data science models, responsible for designing and delivering technically complex Data Science and Artificial Intelligence (AI) initiatives that produce significant business value
• Utilize advanced techniques in machine learning, deep learning, and causal inference to drive business insights and optimize performance.
• Collaborate with cross-functional teams to understand business needs and translate them into actionable data science solutions.
• Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure.
• Use SQL and ETL processes to manipulate and extract data from relational databases.
• Communicate findings and insights effectively to both technical and non-technical stakeholders.
• Provide mentorship to junior team members and contribute to the overall growth of the analytics team.

The Successful candidate:

• Significant, demonstrable experience in data science or analytical roles
• You will have a track record of achievement in data science, analysis, applied statistics or machine learning
• Advanced Technical Skills: Expert-level knowledge of machine learning algorithms, model development, and deployment, with proficiency in at least one programming language (e.g., Python, R) and one database querying language (e.g., SQL). Experience with visualization tools like PowerBI is a plus.
• Business Acumen: Strong ability to align technical solutions with business strategy, and to communicate complex findings to senior stakeholders
• An academic background in statistics, mathematics, computer science, actuarial studies or similar is required
• You will have experience working in a cloud (AWS / GCP / Azure) environment
• You will have demonstrated clear and thorough logical and analytical thinking, as well as problem-solving skills and high attention to detail.
• Project Management: Experience in managing large, complex projects or multiple concurrent projects, including setting timelines, deliverables, and navigating resourcing challenges

Why Join Us:

• Work in a dynamic and innovative team driving real business impact.
• Opportunities for professional growth and development in a leadership role.
• Collaborative culture and cross-functional engagement with various teams and stakeholders.
• Competitive salary and benefits.

We are looking for a Financial Systems Analyst to join our Finance, Data and Strategic Initiatives function, to support the delivery of key initiatives as part of the on-going development of the finance function and help to maintain the operating effectiveness of assigned finance systems and reports to ensure they are fit for purpose.

What is this role about?

In this newly created role, you will work within a dynamic finance team at the forefront of driving change, uplifting and integrating finance systems to facilitate robust and reliable insight and analysis. support the development and maintenance of a robust control environment over finance systems and associated processes.

Here's more of what you’ll work on:

• Support the enhancement and maintenance of a robust control environment over finance systems and associated processes with a focus on simplification, standardisation and automation.
• Perform Finance System administration activities for allocated Finance Systems.
• Maintain accurate records of Finance systems and configurations, as well as related policies and procedures.
• Ensure compliance with relevant laws, regulations, and organizational policies. Respond to audit queries on a timely basis.
• Participating in risk management awareness sessions and forums as required.

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.