Data Lead

Role overview

Essential skills

• Ample knowledge of securities and investment products across asset classes, including equities, fixed income, funds, OTC derivatives, and structured products.
• Deep experience in instrument/reference data, modelling, and quality, including identifiers, classifications, networks, lineage, authoritative sources, mapping, and measurable standards.
• Ability to lead and develop Data Analysts and work across Product, Architecture, Engineering, Front Office, Operations, and Risk.

Valued experience

• Experience modelling OTC derivatives and complex or structured products is valued.
• Investment or advisory platform data delivery experience is valued, ideally including market/reference-data vendors, APIs, and downstream consumers.
• Experience with authoritative data sources, consolidation, large-scale migration, or legacy-platform decommissioning is valued.

Accountabilities and leadership

• Investigate data issues involving quality, lineage, controls, and authoritative sources; document findings and recommend improvements.
• Build pipelines to automate data movement and processing.
• Use advanced analytics to identify trends and correlations, develop validated models, and inform business recommendations and improvements.
• Create interactive dashboards and visual reports and automate regular and ad hoc reporting.
• Contribute to strategy, requirements, change recommendations, resource planning, policy and process management, and continuous improvement.
• Where applicable, manage team responsibilities and future needs, support performance and pay decisions, and lead specialists within strategic, budget, and schedule requirements.
• Individual contributors may serve as subject matter experts; people leaders are expected to demonstrate Barclays' LEAD behaviours.

Contract

• The description states the role is permanent.

Location

• The role is based in the Glasgow office.