Data Modeller - Investment Banking / Wealth Management (ID: 4072)

Data Modeller - Investment Banking / Wealth Management (ID: 4072)

As a Data Modeller, you will:

• Design, develop, and maintain conceptual, logical, and physical data models for complex financial and banking data environments.
• Translate business requirements into scalable and well-structured data models supporting Investment Banking or Wealth Management functions.
• Work closely with business analysts, data architects, developers, and stakeholders to understand data requirements and define appropriate data structures.
• Define entities, attributes, relationships, keys, hierarchies, and data definitions across enterprise data domains.
• Ensure data models support reporting, analytics, data integration, and downstream applications.
• Analyse existing data structures and recommend improvements to data quality, consistency, and scalability.
• Maintain data modelling standards, documentation, and metadata in accordance with enterprise data governance practices.

What You Bring to the Table:

• 6+ years of overall IT experience in data modelling, data architecture, data engineering, or a closely related data discipline.
• Strong hands-on experience in conceptual, logical, and physical data modelling.
• Relevant experience in Investment Banking or Wealth Management is essential.
• Good understanding of financial services data domains, processes, and terminology.
• Experience working with relational databases, SQL, data warehouses, and enterprise data platforms.
• Proficiency with data modelling tools such as Erwin Data Modeler, ER/Studio, or equivalent.
• Strong understanding of data structures, normalization, dimensional modelling, and data relationships.
• Experience working with large and complex datasets in enterprise environments.
• Good understanding of data governance, data quality, metadata, and master/reference data concepts.

You should possess the ability to:

• Analyse complex business requirements and convert them into effective data models.
• Understand and model financial data relevant to Investment Banking or Wealth Management.
• Work effectively with business and technical stakeholders across different teams.
• Identify data dependencies, gaps, redundancies, and inconsistencies within existing data models.
• Create clear and comprehensive data model documentation and maintain modelling standards.
• Communicate complex data concepts clearly to both technical and non-technical stakeholders.
• Manage multiple data modelling activities while meeting project timelines and quality standards.
• Collaborate with architects, developers, data engineers, and business teams throughout the data lifecycle.

What we bring to the table:

• Opportunity to work on complex enterprise-level data modelling initiatives within the financial services domain.
• Exposure to Investment Banking and/or Wealth Management data and business processes.
• Opportunities to work with modern data platforms, architecture, governance, and analytics initiatives.
• A collaborative environment involving data, technology, architecture, and business teams.
• Opportunity to contribute to large-scale data transformation and digital initiatives.