Collaborate with Digital teams and Information Technology teams to develop a ground movement simulation and optimisation model for operational readiness before and after full implementation of the Three-Runway System at Hong Kong International Airport
Promote greater use of data and analytics across Airport Service Delivery teams.
Support data quality, accessibility and governance, together with the effective operation of analytics systems and capabilities...
Establish data quality and service level frameworks, taking responsibility for completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
Evaluate different sources (vendors, exchanges, APIs, file feeds, compliance collection) for coverage, quality, stability, revision mechanisms, and technical fit; collaborate with product, procurement, legal, and compliance teams to clarify usage, display, derivative, retention, and redistribution boundaries; drive rational primary/backup source strategies and alternatives.
Define data semantics, metric definitions, and service contracts jointly with trading product, data platform, AI engineering, and algorithm teams, ensuring consistent and reliable usage of the same stock facts across different products....
Data Integration: Connect to multiple data sources (SQL Server, Oracle DB, APIs, etc.), perform complex transformations, and establish efficient data loading patterns
Change Management: Contribute to Change Request projects, supporting development, testing, and implementation activities
Minimum 3+ years of hands‑on experience in data analytics and business intelligence, ideally within banking, insurance, or financial services...
Establish data quality and service level frameworks, taking responsibility for completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
Evaluate different sources (vendors, exchanges, APIs, file feeds, compliance collection) for coverage, quality, stability, revision mechanisms, and technical fit; collaborate with product, procurement, legal, and compliance teams to clarify usage, display, derivative, retention, and redistribution boundaries; drive rational primary/backup source strategies and alternatives.
Define data semantics, metric definitions, and service contracts jointly with trading product, data platform, AI engineering, and algorithm teams, ensuring consistent and reliable usage of the same stock facts across different products....