2 of 2 Physical Data Model Jobs in Central London

what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE As a Data Modeller in the Financial Services domain, you will be responsible for designing, developing, and maintaining data models that support critical business functions such as risk management, regulatory reporting … investment analytics, and operational efficiency. You will work closely with stakeholders across business and technology to ensure data structures are optimized for performance, compliance, and usability. YOUR PROFILE Design and develop logical and physical data models for enterprise data hubs and BI systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business … needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance across the data landscape. Optimize data models More ❯

As a Data Modeller/Analyst you will have experience of creating and maintaining Conceptual, Logical and Physical Data Models to support the development of core business applications. You will possess a good working knowledge of the London Market business processes and data fundamentals. Your primary responsibility will be to analyse, interpret and understand the data requirements. ➢ Must be familiar with Data Modelling concepts. Exposure to data modelling tools such as Erwin, MS Visio, draw.io would be beneficial. ➢ Any experience working with Data Standards used within the London Market, e.g., ACORD GRLC Data Standards. ➢ Minimum 12 month's experience in the insurance or IT industry - with a background in broking, operations … or underwriting. ➢ Exposure to the London Market business processes is desirable. ➢ Previous experience working as a Business or Data Analyst would be beneficial. ➢ Has an eye for detail and a commitment to data accuracy and consistency. ➢ Excellent communication skills to convey complex data findings to non-technical stakeholders. ➢ Problem Solving: Strong, logical investigative skills, to collaboratively develop More ❯