data engineer for trading, research, and risk

Barclays builds next-generation analytics and AI-ready data platforms on KDB+ that power trading, research, and risk use cases across Markets.

• Build and maintain data architectures and pipelines for transferring and processing durable, complete, and consistent data
• Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity and meet security requirements
• Develop processing and analysis algorithms suited to the intended data complexity and volumes
• Collaborate with data scientists to build and deploy machine learning models
• Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness
• Lead a team performing complex tasks and set objectives, coach employees, appraise performance, and determine reward outcomes
• For individual contributor roles, lead collaborative assignments, guide team members, identify when other specialisations are needed, and identify new directions for assignments and projects
• Consult on complex issues and advise People Leaders on resolving escalated issues
• Identify ways to mitigate risk and develop policies and procedures supporting control and governance
• Manage risk and strengthen controls related to the work
• Coordinate with other areas to support organisational objectives and stay current with business activity and strategy
• Analyse complex data from multiple internal and external sources to solve problems creatively and effectively
• Communicate complex information and influence stakeholders to achieve outcomes

• Foundational experience with data pipelines
• Experience contributing to AI-related use cases or pilots
• Interest in technology developments in front-office trading environments
• A learning mindset and understanding of the challenges of applying AI responsibly in low-latency, high-risk trading systems
• May be assessed on risk and controls, communication, stakeholder interaction, and job-specific technical skills
• Будет плюсом: Financial Services or investment banking background, timeseries experience, front-office trading technology experience, experience collaborating with business, technology, and senior leaders

• The role is based out of the London office