Job Opportunities API

Programme duration:  from 5 to 6 months, starting in 2026.     Who qualifies : Final year students completing a Bachelor's, or Master's.   Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.    Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.     We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.       Your future role at QRT       Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact.   As a Quantitative Developer at QRT, you will contribute to the engineering solutions that power our world-class quantitative research and trading, building the tools, platforms, and infrastructure that enable researchers and traders to operate at their best. You will be tackling projects that demand both technical depth and creativity.   Examples of the projects you may work on include:     Research Enablement & Platform Engineering   Develop and optimize the platforms that power quantitative research across the firm. This may include scalable APIs, machine learning and data pipelines, orchestration frameworks, and shared infrastructure that accelerates research and experimentation. Collaborate closely with researchers to create efficient, reliable, and standardized environments for innovation.   Tooling & Workflow Automation    Design and deliver internal tools used directly by traders and researchers on discretionary desks. Projects may involve streamlining workflows, improving data accessibility, and supporting real-time decision-making - all within the high-intensity environment of front-office operations. Work interactively with users to deliver intuitive, high-impact solutions.   Monitoring & Analytics Tools   Build tools and dashboards to support the firm’s risk and oversight functions, enabling performance evaluation, risk monitoring, and investment oversight. Combine strong data processing and visualization skills with scalable infrastructure, and explore opportunities to integrate applied machine learning for deeper insights.     Your present skillset     Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP).   Ability to write production-grade Python - reusable, type-hinted modules with proper packaging and dependency management, not one-off scripts. Genuine interest in software engineering, infrastructure, distributetes systems or