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/