Data Modeller

Roles & Responsibility

The regulatory compliance and tax reporting team build complex IT systems which ensure that HSBC remains compliant with regulations from thousands of regulators around the globe. The team is dynamic, agile, fast paced and at the forefront of adopting next generation technologies like Cloud, APIs, Artificial Intelligence and Machine Learning, Generative AI, IDP, Kubernetes, RPA etc.

• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data platforms
• Oversee and govern the expansion of an existing data architecture and the optimization of data query performance using best practices
• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning)
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models
• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, AI/ML models and data visualization
• Engage in hands-on modelling, design, configuration, installation, performance tuning, and sandbox POCs

Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks

Requirements

The regulatory compliance and tax reporting team build complex IT systems which ensure that HSBC remains compliant with regulations from thousands of regulators around the globe. The team is dynamic, agile, fast paced and at the forefront of adopting next generation technologies like Cloud, APIs, Artificial Intelligence and Machine Learning, Generative AI, IDP, Kubernetes, RPA etc.

• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data platforms
• Oversee and govern the expansion of an existing data architecture and the optimization of data query performance using best practices
• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning)
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models
• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, AI/ML models and data visualization
• Engage in hands-on modelling, design, configuration, installation, performance tuning, and sandbox POCs

Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks