About the Role
Barclays builds next-generation analytics and AI-ready data platforms on KDB+ that power trading, research, and risk use cases across Markets.
Responsibilities
•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
Requirements
•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
Nice to Have
•Financial Services or investment banking background
•Timeseries experience
•Front-office trading technology experience
•Experience collaborating with business, technology, and senior leaders
Conditions
The role is based out of the London office.
