Total 3,316 job vacancies in Sydney - North Ryde

Be in the heart of it all by joining our Front Office team of our Pullman Hotel! 

Reporting to the Front Office Manager, our Front Office All Rounder are primarily responsible for providing welcoming and efficient service for our Guest’s registration and departure.

What does an All Rounder's role entail?

• Provide quality service to our Guests, responding to requests promptly, efficiently and courteously during their check in, check out and throughout their stay. 
• Maintain accurate Guest accounts, ensuring all charges are accurate and posted in a timely manner.
• Attend to incoming calls via the switchboard in a professional and polite manner.
• Maintain strict security procedures, ensuring Guest confidentiality and safety.

We are seeking a skilled and experienced Business Analyst to join our team and play a pivotal role in building the origination experience across our platforms. As a Business Analyst you will work closely with cross-functional teams including product managers, developers, and stakeholders to drive product and customer initiatives within our Originations tribe. This role will allow you to use your problem solving and analytical skills to deliver exceptional experiences for our customers.

• Lead discovery sessions with stakeholders to understand business requirements and translate them into detailed user stories and acceptance criteria. 
• Evaluate existing business processes and identify opportunities for improvement to increase efficiency and productivity. 
• Perform data analysis to identify trends, patterns, and insights that inform decision-making processes. 
• Create clear and comprehensive business and functional requirement documents, process flows, and user stories. 
• Collaborate closely with scrum teams to ensure seamless delivery of initiatives, using agile practices to prioritise, build, release and iterate on product features.  
• Analyse and document existing customer experiences, identify inefficiencies, and recommend improvements. 
• Work collaboratively with the broader product delivery teams to shape and implement product releases. 
• Investigate issues and effectively communicate the resolution to stakeholders. 
• Conduct testing and validate platform features to ensure they meet technical and business requirements. 
• Develop training materials and conduct training sessions for end-users when required. 
• Support the Product Manager to manage the backlog to ensure it follows the product roadmap and strategy. 

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.