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. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Hema Murali Phone: +31 20 369 0609 ; Extn :148 Email: hema.m@stafide.nl LinkedIn: https://www.linkedin.com/in/hema-murali-315999329/