Jobs at Qube Research & Technologies

Transform procurement, cloud and infrastructure data into dashboards, forecasts and insights to support capacity planning, supplier management, cost optimisation and investment decisions. Build ETL pipelines, KPI frameworks and automated reporting, partnering with procurement, finance, engineering and operations and presenting findings to senior stakeholders.

The Junior Risk Manager will produce risk reports, monitor trades, reconcile data, assist in framework development, and liaise with stakeholders.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

You will design and implement low-latency trading systems, optimize system performance, and ensure reliability at scale within the Core Trading Platform team.

Join the BDA team to support application development, analyze datasets for insights, and enhance analytical tools for stakeholder reporting.

Design, build and operate large-scale data ingestion, processing and distribution infrastructure. Lead architecture and technical design for real-time messaging, distributed storage, data processing and analytics workloads. Mentor engineers, enforce high engineering standards, and translate business requirements into scalable production systems.

Support employee lifecycle operations including background screening, immigration, onboarding, offboarding, transfers and HRIS updates. Provide employee and HRBP support, partner with Payroll/Comp/Global Mobility/Talent Development, maintain accurate employee data, and drive process improvements and automation to enhance efficiency and employee experience.

Develop a real-time application for investment trade ideas, focusing on high availability, iterative improvements, and architectural decisions in collaboration with stakeholders.

As a Cyber Risk Specialist, you'll manage cyber risk, governance, audits, compliance, and security awareness activities, while ensuring effective control measures and reporting insights to leadership.

Lead high-impact strategic initiatives, partner with senior leadership to solve complex problems, connect technology and business teams, and ensure project delivery.

This role involves developing tick data pipelines in Python, serving data to backtesting engines, and ensuring data quality checks are effective.

The Enterprise Network Lead will define and implement network strategies, ensuring performance, security, and resilience of global infrastructure while leading a team and managing vendor relationships.

Lead Compute Operations team, overseeing on-premise infrastructure management, hardware support, monitoring, and incident resolution while mentoring engineers and ensuring system reliability.

Develop and enhance low latency market data systems using high-performance C++ in a collaborative team environment, contributing to architecture and project leadership.

The Operations Associate will support trading desks in managing Interest Rate Derivatives, ensuring trade accuracy, overseeing clearing processes, and resolving trade discrepancies, while enhancing operational controls and processes.

Design and implement AWS architectures to enhance quantitative research, collaborating with researchers and developers to create scalable cloud solutions, ensuring performance and reliability.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

First-line support for a high-performance research and trading platform: monitor alerts and logs, triage and resolve infrastructure incidents, handle onboarding and environment requests, maintain runbooks, improve monitoring and automation, escalate complex issues, and participate in on-call rotation to ensure platform reliability and responsiveness.

The role involves collaborating with researchers and traders to design datasets, developing data pipelines, and optimizing data extraction processes.