Jobs at Qube Research & Technologies

Coordinate interviews and scheduling across teams, act as main candidate contact, maintain ATS records, communicate timely with candidates, represent QRT at university events, and support employer branding and recruitment projects.

Work with researchers and portfolio managers to build, industrialize, and maintain quantitative trading frameworks and data pipelines. Automate data cleaning, promote best practices, and expand the team's software platform to support evolving research and trading needs.

Own and evolve software platforms for the Volatility Risk team. Refactor and harden Python codebases, build backend services (pricing engines, market-data frameworks, risk analytics), create dashboards and UIs, and apply AI agents and automation to improve workflows. Partner with Risk Managers to industrialise processes and deliver production-grade, scalable solutions.

Support Options trading by sourcing, evaluating and onboarding datasets; build and maintain robust data pipelines; ensure data quality and timeliness; collaborate with researchers, traders and vendors to translate requirements into scalable data solutions and improve internal data platform and tooling.

The role involves developing a Python library for researchers, creating backtesting pipelines, and optimizing trading strategies, with a strong focus on documentation and user support.

As a Senior Software Engineer in Market Access, you will architect and develop high-performance C++ trading systems, collaborate with cross-functional teams, mentor engineers, and drive code quality and optimization.

Manage and maintain QRT's global network infrastructure, ensuring reliability and security while implementing automation and observability capabilities.

As a Quantitative Developer, you will work on high-frequency trading algorithms, collaborating with traders and researchers to enhance trading strategies in APAC markets.

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

The role involves providing trading support, analyzing PnL, maintaining reports, conducting investigations, and collaborating with various teams.

As a Software Engineer at QRT, you'll develop automation tools, improve observability, and collaborate with teams on scalable trading systems.

Review and coordinate corporate and international tax filings across APAC (including CbCR and Pillar 2). Advise on GST/VAT, withholding tax, treaty relief and transfer pricing. Support tax accounting, audits, stakeholder liaison, research legislative developments, and contribute to tax controls, policies, and process automation.

Lead planning and execution of internal and external events across APAC, from small team gatherings to large conferences. Own event lifecycle: concept, logistics, vendor negotiation, on-site delivery, promotion, stakeholder management, and post-event evaluation. Collaborate with global Communications, office teams, and external partners; support philanthropic and university events. Role is Hong Kong-based and requires occasional international travel and evening availability.

As a Cloud Engineer, you will design AWS architectures, collaborate with teams to enhance research processes, automate cloud deployment, and optimize systems for performance and cost-efficiency.

Develop and build an in-house HPC Research Platform, enhancing access to computational resources for research teams, while collaborating with quantitative researchers and engineering stakeholders.

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.

As a Quantitative Research Intern, you will develop predictive signals, collaborate with researchers, and contribute to systematic trading processes, leveraging technical and programming skills.

The internship involves working as a Quant Developer or Software Engineer, focusing on trading systems and data infrastructure, while collaborating closely with industry professionals.