Jobs at Qube Research & Technologies

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.

Partner with Technology leaders to design hiring strategies, advise on compensation and candidate alignment, lead recruitment across tech functions, analyze recruitment metrics, optimize TA processes and interview frameworks, and build long-term talent pipelines via market mapping and proactive sourcing.

Build scalable network automation applications across frontend and backend. Collaborate with network engineers and stakeholders to define requirements, implement modular UIs and services, maintain code quality, testing, CI/CD, documentation, and adopt best practices and tooling within Agile delivery.

Qube Research & Technologies offers travel grants to support Master, PhD, and Postdoc students attending NeurIPS 2026. Applicants submit a CV and details of any NeurIPS submission; selections prioritize presenters. Successful recipients receive travel, accommodation, a daily stipend, and an all-access conference pass. Applications reviewed by QRT; deadline October 2, 2026.

Analyze market risks through VaR and stress testing, enhancing risk reporting, and collaborating with trading and risk teams.

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

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

Develop, maintain and modernize trading systems across multiple asset classes. Diagnose production issues, improve performance and reliability, contribute to architecture of a replacement platform, and collaborate with traders and stakeholders to deliver stable, high-performance solutions.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

The role involves managing and improving the Network Infrastructure team's documentation and process library, ensuring clarity and consistency in workflows.

The role involves developing a derivatives pricing library, collaborating with traders and supporting model integration into pricing systems.

Develop and deploy AI-powered applications, agents, and integrations for HFT. Evaluate models and tooling, build agentic workflows, integrate AI with internal systems, and collaborate with research and trading teams to deliver production-grade AI solutions and best practices.

Develop and optimize performance-critical C++ systems for trading and market data, collaborating with FPGA engineers and focusing on low-latency architecture.

The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.

Partner with quantitative traders and researchers to design, build, deploy, and support production-grade Python reporting and analytical tools, integrate alternative datasets, and deliver insights for trading strategies and performance monitoring.

As a Software Engineer Intern, you will develop data applications, refactor code, automate workflows on AWS, and collaborate with teams to enhance functionality.

As a key member of the Market Access team, you will build market access systems, handle trading gateways, and collaborate with various teams at QRT.

This role involves gathering regulatory requirements, translating them into specifications, improving surveillance processes, and collaborating with engineering teams using SQL and Python.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

Analyze network and exchange protocols, automate performance metrics, and optimize high-frequency trading infrastructure for improved trading operations.