Data Modeler

As specialist in Data Architecture and Data Modelling, you will develop a deep understanding of Pricing Core customer journeys, business capabilities and data domains. You will help translate business needs, customer outcomes and product strategy into scalable data solutions that enable efficient delivery, regulatory compliance and future platform evolution.

You will act as a bridge between business and technology teams, ensuring that data architecture, data models and data flows support both current and future Pricing Core capabilities.

The Data Modeler will have the following responsibilities:

Business Analysis

• Develop a strong understanding of Pricing Core customer journeys, business processes and data domains.
• Translate business requirements and customer needs into clear data requirements and data solutions.
• Analyse how data flows across Pricing Core and identify opportunities to improve efficiency, simplify processes and reduce duplication.
• Support day-to-day Pricing Core operations by analysing data-related incidents, investigating data quality issues and resolving business queries.

Data Architecture & Modelling

• Design and maintain logical and physical data models across trade, market, reference, static and risk data domains.
• Define business entities, relationships and data definitions.
• Contribute to the evolution of the Pricing Core data architecture and ensure alignment with architecture and governance standards.
• Support data lineage, metadata management and data quality initiatives.

Stakeholder Engagement & Delivery

• Partner with Front Office, Risk, Operations, Quants, Product and Technology teams to understand business requirements and data challenges.
• Act as a trusted point of contact for questions regarding data semantics, business context and data usage across Pricing Core.
• Support end-to-end impact assessments for strategic initiatives and change programmes.
• Translate complex business requirements into practical and sustainable data solutions.

Change & Continuous Improvement

• Drive data modelling and architecture initiatives in collaboration with Product Managers and delivery teams.
• Promote data standards, quality and governance across Pricing Core.
• Continuously identify opportunities to simplify processes, reduce complexity and improve data management.
• Share knowledge and best practices across the organisation.