data engineer for trading, research, and risk

Описание:

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

Задачи:

• 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.

Требования:

• 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.

Условия:

The role is based out of the London office.