Sr Data Modeller
rtner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
· Design and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting / analytics needs.
· Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
· Implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
· Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
· Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
· Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
· Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
Job Requirements
· Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Master’s degree is nice to have.
· 7-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
· Basic knowledge of data governance (i.e DAMA-DMBOK).
· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
· Advanced SQL skills and strong ability to work with large, complex financial datasets.
· Solid understanding of relational and dimensional modelling, financial expertise and data management.
· Intermediate understanding of regulatory compliance in the APAC region.
· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
Named Job Posting? (if Yes - needs to be approved by SCSC)
No
rtner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
· Design and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting / analytics needs.
· Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
· Implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
· Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
· Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
· Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
· Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
Job Requirements
· Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Master’s degree is nice to have.
· 7-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
· Basic knowledge of data governance (i.e DAMA-DMBOK).
· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
· Advanced SQL skills and strong ability to work with large, complex financial datasets.
· Solid understanding of relational and dimensional modelling, financial expertise and data management.
· Intermediate understanding of regulatory compliance in the APAC region.
· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
Named Job Posting? (if Yes - needs to be approved by SCSC)
No