Trading Quantitative Developer

Penultimate or final year students completing a Bachelor's, 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.

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:
~ Build and optimize the high-performance systems that power QRT’s real-time trading. Contribute to low-latency infrastructure, execution logic, and live monitoring tools — where engineering performance directly impacts trading outcomes. These roles involve hands-on development in C++ or .NET, close to production and tightly integrated with live strategies.
~ Research Enablement & Platform Engineering

This may include scalable APIs, machine learning and data pipelines, orchestration frameworks, and shared infrastructure that accelerates research and experimentation. Projects may involve streamlining workflows, improving data accessibility, and supporting real-time decision-making - all within the high-intensity environment of front-office operations. 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.
~ Build and maintain the infrastructure supporting the development, testing, and deployment of trading signals in production. This includes tooling for signal generation, model evaluation, data ingestion, and analytics - enabling systematic trading teams to iterate, validate, and implement live trading logic efficiently and reliably.

Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP).
Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in C++, C#, or Python.
Interest to build expertise in high-performance, real-time trading systems
Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting.
Knowledge of databases such as SQL or NoSQL.
Experience in front-end development.
Interest in financial markets and/or algorithmic trading.

Application - Submit your application online. Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.
Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. We welcome diversity as essential to our success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.