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The ideal candidate will have a strong background in leading teams to develop scalable data pipelines and frameworks that support trade surveillance analysts in decision-making and strategy. The team is in an exciting phase of enhancing its data lake house and ingestion architecture using the Azure Synapse stack, transitioning into DataBricks.
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Senior Azure Data Engineer, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our users. The role is responsible for innovating, building and maintaining technology services.
The role involves analyzing business needs and translating them into functional solutions to deploy machine learning models and optimize their performance. Candidates should have experience in data science, strong problem-solving skills, and the ability to work effectively in cross-functional teams.
Hands on ETL, data pipeline and data modelling at Cloud platform.
As a data enablement specialist, your role will involve the development, maintenance, testing, and evaluation of data solutions within our advanced Data and Analytics Platform. Your primary focus will be on driving the adoption of self-service data analytics, following established reference patterns and best practices.
My client is the regulatory authority responsible for monetary policies, financial stability, and supervision of banks in a major Asian financial hub. It oversees the exchange rate system, promotes the growth of the financial industry, and ensures the integrity of the Hong Kong financial system.
We are seeking a skilled Data engineer for our client. In this role, you will be responsible for designing and maintaining a robust data architecture, developing efficient ETL processes, and supporting analytics initiatives. You will collaborate closely with business stakeholders to translate their needs into actionable data models, ensuring data integrity and usability.
Big team of Data Analytics as a Data Scientist, where you will be part of a dynamic group of data scientists and engineers. Building a cutting-edge data platform, models, and tools to revolutionize analytics and enable data-driven decision making on a large scale.
This position seeks a General AI Engineer with a focus on Finance Risk Data, requiring 3 years of experience. The role involves developing and implementing AI solutions for analyzing financial risks, collaborating with stakeholders, and staying updated on AI advancements.
Develop data analytics to identify growth opportunities and support key business initiatives, enhancing retention, acquisition, and cross-selling efficiency in a leading insurance organisation.
Our client is a major and well known American investment bank with a global presence. They are currently looking for a Business Analyst that will sit under the global client on-boarding and regulatory division to lead the deployment of transformation projects (project management and UAT).
Our client is a well-established banking group in Hong Kong. Currently, they are looking for a Manager Data Analytics and CRM to support their Fraud System Project.
We are seeking a skilled Data Analyst to join our client. In this role, you will leverage your expertise in data analysis to deliver insightful reports and collaborate with business units to optimize data utilization. You will be responsible for mining data using advanced technologies and analytical tools, providing actionable insights to support product and operational decisions.
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