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Work within the Data Analytics team to drive data-driven decision making: lead analytics projects, model and simulate business problems, produce end-to-end reporting, visualise insights for technical and non-technical stakeholders, provide technical oversight and mentor colleagues.

Develop systems that enhance high-performance trading platforms, focusing on workload distribution and real-time support for quantitative researchers.

As a Performance Engineering Manager, you'll lead the Compute Performance Engineering team, optimizing large-scale workloads across Linux HPC and Kubernetes. Responsibilities include strategy development, team leadership, profiling workloads, and enhancing compute infrastructure for better performance.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

As a Software Engineer, you'll transform systems, design high-performance distributed systems, and contribute to engineering growth and success.

The Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

The Engineering Manager will lead the design and delivery of large-scale engineering systems, manage a high-performing team, and collaborate on a data storage platform.

The Infrastructure Architect will design and oversee the infrastructure roadmap, focusing on private cloud and on-premises environments, ensuring alignment with business objectives and technology standards.

Design, build and operate highly available low-latency co-location network infrastructure. Optimize performance, timing and throughput; implement packet-capture and market connectivity; develop automation and tooling; monitor lifecycle and reliability; collaborate with platform teams; contribute to incident response and on-call support.

Design, build and maintain network automation and IaC for a high-availability, low-latency colocation environment. Develop Python-based automation, integrate with CI/CD, provide APIs and self-service tooling, implement observability, support incident response and on-call for critical infrastructure.