Data Modeller - Investment Banking / Wealth Management (ID: 4072)
Key Skills
Job Description
- 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.
- 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.
- 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.
- 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.
Core Responsibilities
Design, develop, and maintain conceptual, logical, and physical data models for complex financial and banking environments. Collaborate with stakeholders to translate business requirements into scalable data structures that support reporting, analytics, and integration.
Requirements
Requires 6+ years of experience in data modelling or related disciplines with a strong background in Investment Banking or Wealth Management. Proficiency in data modelling tools and a deep understanding of relational databases, SQL, and data governance practices are essential.
About STAFIDE
Industry: Staffing and Recruiting
Company size: 11-50 employees
Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.