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Data Modeler

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Vanloq - Workforce Solutions
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Warehousing
Job Description & How to Apply Below
Location: Greater London

  • Support the delivery of complex transformation initiatives across the data portfolio.
  • Work within agile, multi-skilled teams to deliver high quality, customer centric products.
  • Elicit and analyse business change, functional and non-functional requirements across a broad range of stakeholders.
  • Collaborate with cross-asset IT teams to translate requirements and deliver effective reconciliation solutions.
  • Own and produce analysis and data modelling artefacts to enable development teams to deliver working solutions.
  • Develop a strong understanding of the end-to-end user journey beyond system boundaries.
  • Provide advanced business and technical input into requirements development.
  • Create and enhance conceptual, logical, and physical data models in line with agreed standards.
  • Perform metadata analysis, including entity and attribute naming, definitions, data types, and lengths.
  • Create, maintain, and govern data models and associated artefacts.
Required Experience &

Skills:
  • Strong Data Analysis and/or Data Modelling experience.
  • Strong financial services domain knowledge, ideally within Wealth Management.
  • Hands‑on experience working with Wealth Management platforms such as Avaloq, Temenos (or similar core banking / investment platforms).
  • Experience working with CRM systems and integrating client, portfolio, and transactional data.
  • Proven experience in requirements gathering, gap analysis, data analysis, effort estimation, reviews, data mapping, and database design.
  • Deep understanding of data modelling (conceptual, logical, physical) and data governance standards.
  • Ability to maintain high-quality metadata and data artefacts that are accurate, consistent, traceable, and reliable.
  • Strong understanding of SDLC and Agile methodologies.
  • Self‑starter with strong ownership mindset and problem‑solving approach.
  • Excellent communication and stakeholder management skills, with the ability to act as a bridge between business and technology teams.
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