- about the company. Our client is a prominent statutory authority tasked with ensuring the strength, integrity, and stability of Hong Kong's financial and monetary ecosystems. They are heavily investing in a top-tier digital transformation initiative, scaling up their internal capabilities to embed machine learning and innovation into the core of their operations.about the team. The AI & Innovation division is an agile, forward-thinking team of specialistsabout the company. Our client is a prominent statutory authority tasked with ensuring the strength, integrity, and stability of Hong Kong's financial and monetary ecosystems. They are heavily investing in a top-tier digital transformation initiative, scaling up their internal capabilities to embed machine learning and innovation into the core of their operations.about the team. The AI & Innovation division is an agile, forward-thinking team of specialists
- about the company. Our client is a prominent statutory authority responsible for ensuring the ongoing stability and integrity of Hong Kong's financial and monetary ecosystems. They are actively engaged in a major corporate initiative to simplify and update their technical infrastructure, embedding automation and smart intelligence into their core applications.about the team. The successful candidate will join an expanding AI & Innovation division filled wiabout the company. Our client is a prominent statutory authority responsible for ensuring the ongoing stability and integrity of Hong Kong's financial and monetary ecosystems. They are actively engaged in a major corporate initiative to simplify and update their technical infrastructure, embedding automation and smart intelligence into their core applications.about the team. The successful candidate will join an expanding AI & Innovation division filled wi
- About the JobKey Responsibilities:Pipeline Engineering: Build end-to-end data pipelines including data collection, transformation, quality, and integration.Solution Design: Collaborate with business teams to identify data requirements and assemble large, complex datasets.Optimization: Design, implement, and fine-tune analytics solutions to meet technical performance metrics.Integrity & Security: Work with the Data Architect to maintain data model integrityAbout the JobKey Responsibilities:Pipeline Engineering: Build end-to-end data pipelines including data collection, transformation, quality, and integration.Solution Design: Collaborate with business teams to identify data requirements and assemble large, complex datasets.Optimization: Design, implement, and fine-tune analytics solutions to meet technical performance metrics.Integrity & Security: Work with the Data Architect to maintain data model integrity
