Total 7 data entry clerk job vacancies in NSW - Sydney - City & Inner West

2x Positions Available: We are looking for a Mid-level Data Engineer & Associate Data Engineer to join our Data Team to support the performance, integrity, and security of the organization's databases.

What is this role about?

The data engineer is responsible for building a data platform to help develop self-serve BI capability and enforce the data management practices are implemented as part of solution design. Help foster a culture of continuous improvement in processes, operations, and support by enforcing best practices and ensuring that the team consistently maximizes the efficiency and effectiveness of the platforms.

Here's more of what you’ll work on:

• Develop and Maintain AWS Data platform infrastructure code through Terraform.
• Produce the platform for extraction, loading and transformation (ELT) of data from a wide variety of data sources using ‘Big Data’ technologies by building an Integration Hub.
• Implement, review, and manage governance policies to help implement them on the data platforms.
• Manage the release of configuration changes to production environments in accordance with Cuscal change management principles.
• Manage and process complex, large data for analysis (e.g., hierarchies of datasets, inter-relationships, partitions, views, etc.)

We are looking for a Lead Data Engineer to join our Data Domain!

What is this role about?

In this newly created, critical role, you will be responsible for the design, development and support of the Data Products Cuscal creates for both internal and client facing use cases. The role accomplishes this by:

• Sourcing, transforming, securing and monitoring data for the creation of products using Cuscal’s data lake and analytics systems.
• Engaging in discovery activities with the Data Product Owner and product, engineering and analytics personnel from both internal and client teams.
• Working in partnership with our Data Practice to deliver solutions that meet our organisational standards and best practices.

Here's more of what you’ll work on:

• Design Solutions: Develop and maintain scalable pipelines. Ensure systems are designed for extensibility, are robust, and can handle large volumes of data efficiently.
• Data Integration: Lead efforts in integrating data from various sources, ensuring data quality and consistency. Work on data transformation, processing, and loading to support analytics and business intelligence needs.
• Performance Optimisation: Identify and resolve performance bottlenecks within the Databricks environment, including optimizing the data ingestion processes and ensuring efficient data querying.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet those needs. Provide guidance and mentorship to junior data engineers.
• Innovation and Improvement: Continuously explore new data technologies and methodologies. Implement best practices for data engineering in partnership with our Data practice.
• Documentation: Maintain comprehensive documentation of data workflows, architectures, and best practices. Ensure that all data processes are well-documented and reproducible.
• Security and Compliance: Ensure data security and compliance with industry standards and regulations. Implement data governance practices and monitor adherence to policies.

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 digital payment solutions, the New Payment Platform (NPP), 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 Data Scientist to join our Financial Crime Team and help advance our Financial Crimes monitoring program  

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 Data Scientist to continue to drive forward Cuscal’s robust fraud monitoring solutions that leverage artificial intelligence (AI) and Machine Learning (ML) to stay ahead of emerging fraud trends, while protecting our clients; their customers, brand, and balance sheets.  

Reporting to the Senior Data Scientist, the Data Scientist will identify, prioritise and undertake a range of research and analytical activities leveraging all available data assets to help solve complex business problems.  

About the Role: 

1) Data Science Strategy and Planning: 

• Develop Cuscal fraud detection and prevention strategies to stay ahead of emerging fraud trends and evolving threats.  

• Formulate a coherent cross-business approach and strategic/tactical plan for big data initiatives. 

2) Data Analysis and Modelling 

• Conduct proactive, in-depth analysis of multiple data sets to prevent high-risk and financial crimes activity and emerging threats or optimize current monitoring across multiple channels, including cards, 3D secure, digital wallets, real-time payments, and PayTo.  

• Develop and optimise predictive modelling software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large data sets from multiple disparate sources. 

• Perform deep-dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.  

• Translate analytical insights into concrete, actionable business, process, or product improvement recommendations. 

3) Continuous Improvement: 

• Deliver continuous improvement activities to prevent threats while optimizing customer experience and operational outcomes, including improvements to identify undetected fraud.  

• Ensure all processes for data analysis, machine learning models, and model governance are aligned to Cuscal’s AI strategy, including best practice guidelines for instrumentation and experimentation. 

• Adopt data science best practices to deliver quantitative improvements to the analytics and process modelling functions.

About You: 

• University qualification in data science, Computer Science, Statistics, or a related field. Industry certifications related to data science and fraud detection highly regarded  

• Demonstrated experience working with tools that deploy fraud rules and Machine Learning algorithms. 

• Financial Services experience in payments, Card payments, Acquiring, 3D secure, Digital banking and real-time payments. Experience in fraud and financial crimes is desirable.   

• Understanding of relational databases and programming, including SQL, R, and Python 

• Experience interpreting data from visualisation tools such as PowerBI and visualisation libraries such as Matplotlib, Seaborn, and Plotly. 

• Data mining of large data sets to identify emerging patterns, trends and opportunities. 

• Knowledge of Natural Language Processing and Large Language Models is desirable.  

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. 

What is this role about?

Manager, Data Governance will work alongside Senior Manager, Data Governance to lead the data risk management and data governance function.

The role is essential for ensuring data risks are effectively identified, assessed, managed and monitored across Cuscal, in line with regulatory expectations (CPG235).

Here’s more of what you’ll work on:

• Execute Data and Data Risk Management Roadmap, Workplan: Lead the execution of Data and Data Risk Management Roadmap, Work Plan to implement data management principles.
   
• Embed Risk Practices and Mindset: Collaborating with product domains and corporate functions to embed data risk management principles and minimum requirements into day-to-day business activities.
   
• Risk Reporting and Analytics: Prepare regular updates for review highlighting key risk areas and recommendations, for reporting at Data Governance Committee (DGC), Technology Risk Committee, Enterprise Risk Committee.
   
• Facilitations of workshops: Bringing data under management at Cuscal to ensure critical data elements are identified, understood with business lineage, have quality requirements defined, have risks and controls assessed, and data issues managed, reported and resolved.
   
• Line 1 Risk: Perform 1LoD data risk management supporting teams with risk identification, assessment, incident and issue management, controls implementation and vendor risk assessment.
   
• Operationalise the Data Operating Model: Act as change champion and SME for Data Owners and Data Stewards.
   
• Custodian of Data Governance Tool: Support the rollout and adoption of the tool to product domains and corporate functions. 

We are looking for a Software Engineer to join our Data Domain.

As a member of our Data Services team, you’ll be responsible for developing, maintaining, and supporting data products leveraging all data available within Cuscal to create new value for our clients. This includes analysis, design, build, test, and documenting solutions according to approved current standards and best practice methodology.

In this role you will be responsible for:

• Preparing technical specifications and low-level design documents to meet user requirements and functional specifications.
• Designing and developing applications on Cuscal’s AWS platform using serverless and container services
• Implementing CI/CD pipelines and utilising IaC tools for provisioning cloud resources in AWS
• Analysing, designing, developing, and testing software solutions that meet user requirements according to approved IT standards and best practice methodology.
• Adhering to architecture, design, implementation, and security standards and best practices.
• Developing reusable software building blocks to enable faster delivery.
• Writing high-quality code that satisfies customer needs and follows the endorsed coding standards.

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. 

What is this role about?

Reporting into the People Systems and Projects Manager, the Reporting and Data Analyst’s role is to produce and enhance the data reporting and analytical capability within the People & Culture Division, to assist with enhancing decision making and providing insights to the P&C team and the wider business.

Here’s some more insight into what you’ll work on,

• Production of regular and ad hoc reporting, including data interpretation and insights, effectively communicating findings to stakeholders.
• Identification of discrepancies in data and providing solutions to rectify.
• Providing recommendations and assisting the team in crucial decision making.
• Creation of Manager Dashboards.
• Analyse, design and implement improved data reporting processes.
• Analyse, design and implement processes to enhance current data integrity.
• Design and implement automated analytics and reporting.
• Analyse current systems and sources of data and recommend alternate and/or interfaces.