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This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.

Deliver analytics of trading data, develop reports/tools for risk management, and contribute to portfolio management and strategic analysis.

Operate and improve ultra-low-latency global trading infrastructure: own production reliability, investigate complex incidents across apps, infra and network, automate toil, enhance observability and optimize latency, efficiency and deployments while collaborating with developers and traders.

Run and improve the vulnerability management programme across on‑premise, cloud, and hybrid environments. Operate scanners, validate findings, enrich risk context, support remediation and patch verification, automate tooling and reporting, and assist incident response with technical vulnerability assessment.

As a Quantitative Analyst, you will analyze trading data, manage data processes, and provide insights to support decision-making within a financial setting.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

As a Windows Platform Server Engineer, you will design, build, and support Windows Server infrastructure and related technologies, ensuring operational reliability and optimizing IT services.

Join the Infrastructure Database team to manage and optimize ClickHouse databases, ensuring reliability, performance and supporting scalable data infrastructure for research and trading activities.

Develop and maintain research and trading software to support quantitative strategies: automate data cleaning, build research frameworks, productionise strategies, improve research workflows, and promote software engineering practices across research teams while working closely with researchers and portfolio managers.

Build and maintain Python data pipelines to ingest, transform, validate, and load financial datasets. Onboard and document new vendor datasets, monitor pipelines, resolve data quality and delivery issues, and collaborate with researchers, analysts, and engineers to ensure reliable data for research and trading.