Programme duration: 6 months, starting in 2026.   

Who qualifies: 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. 

Your future role at QRT  

As a Machine Learning Engineer at QRT, you will contribute to building the systems used to evaluate and compare LLMs across a range of tasks and datasets. Design evaluation pipelines, define scoring methodologies, and develop the services that run, track, and reproduce experiments at scale. Integrate new models into a unified framework and optimize evaluation workflows for performance and reliability.

Your present skillset  

• Strong Python skills, with experience building reliable and maintainable systems.

• Solid software engineering fundamentals, including APIs, testing, and modular design.

• Experience working with data pipelines and experimentation workflows.

• Excellent communication skills - you will interact directly with Traders and Researchers.  

• Strong analytical and problem-solving skills, with a structured approach to ambiguous problems.

• Interest in large language models (LLMs), machine learning systems, and evaluation methodologies.

Preferred qualifications (a plus): 

• Experience with LLM tooling or frameworks (e.g. Hugging Face, OpenAI APIs, vLLM, or similar).

• Familiarity with evaluation or benchmarking frameworks (e.g. lm-eval, HELM, or custom evaluation pipelines).

• Exposure to distributed systems, parallel computing, or GPU-based workloads.
• Experience with experiment tracking tools (e.g. MLflow, Weights & Biases) or similar systems.
• Interest in model evaluation, robustness, and real-world performance of machine learning systems.

Interview Process 

•  Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• 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. These will assess both your technical expertise and your alignment with our culture and values. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.  

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: 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. 

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 part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design. 

Examples of potential roles and projects include: 

• Quantitative Data Analyst 

Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale. 

• Data Engineer 

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

• Data Platform Engineer 

Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently. 

Your present skillset  

• 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 Python.

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills - you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process: 

• Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• 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. These will assess both your technical expertise and your alignment with our culture and values. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.  

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: 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. 

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: 

• Trading Infrastructure & Low-Latency 

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 

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. 

•  Core Trading Systems (London only) 

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. 

Your present skillset  

• 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 

• Excellent communication and analytical skills – you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process 

•  Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• 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. These will assess both your technical expertise and your alignment with our culture and values. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.  

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.

We have a variety of technology opportunities for our 2024 Campus Recruitment. Below are the responsibilities for each team. Throughout the interview process, we will share with you more info and discuss with you which team would be best fit for you, decide that at offer stage. When you submit your application, feel free to share with us your preference.

Application Timeline:

• Rolling applications, we review applications all year-round

Infra & Cloud Teams Responsibilities

• Intel CPU tuning deep dives including overclocking L3 cache configuration, or performance testing production code.

• Containerization with Kubernetes and monitoring using Grafana and Prometheus

• Testing and benchmarking new bleeding edge tech in our performance lab, with the view of releasing new technology into production that has a genuinely positive and measurable impact to the business.

• Building and supporting the tooling to allow our developers to spin highly available, scalable and secure cloud infrastructure on AWS

• Develop automation scripts to manage and maintain infrastructure using tools such as Terraform and CloudFormation

• Exposure to following technologies: Linux, RedHat, Python/C++ development, FPGA, Solarflare, git, Bash, SQL, Networks, AWS Cloud Computing, Network protocols, techniques and technologies, Terraform, Ansible, internal software engineering tools.

C++ Developer Responsibilities

• Developing our ultra-low latency trading system in C++ where we work down to nanosecond latencies and interact with low-level technologies like FPGA.

• Building out new large-scale data visualisation platforms and tools in Python using modern web tools and new data science concepts.

• Expanding and re-writing our GUI stack to incorporate new technologies

• Building out strategic new parts of our platforms using C#/C++/Python and various other technologies like a new risk engine that computes huge volumes of data in real time, and everything else in between.

• Exposure to following technologies: C++/C#/Python/React development, FPGA, AWS, distributed systems, Linux/Windows, etc. as well as internal software engineering tools.

Quantitative Developer Responsibilities

• Exposure to many aspects of electronic and algorithmic trading, backtesting, and data management systems

• Working with traders and quants to roll-out, support and run strategies

• Building and supporting new quantitative trading framework software

• Designing clean architecture and leveraging state of the art tools and components

• Bringing new ideas and experimenting with new technologies

What we are looking for:

• Penultimate year students or upcoming graduates studying for a degree (Bachelor’s, Master’s or PhD) in any STEM subject (computer science, physics, mathematics or any related engineering discipline) on track towards obtaining a 2:1 or above.

• Demonstrable passion for technology! Regardless of whether you have formal CompSci training or not – we are more interested in your achievements in related fields

• Pro-active and unafraid to ask questions. You can really have a huge impact here, improving our performance with suggestions and optimisations.

• Entrepreneurial approach and self-motivated.

THE CONDITIONS FOR UNDERTAKING A V.I.E  

- Be aged at least 18 but not yet 29 : you must be 28 or below when you start your assignment, bearing in mind that a V.I.E contract always starts on the 1st of the month.

- Be French or a European citizen. 

- Be in good standing with regard to the national service obligations of your country(ies) (defence ID n°).

- Have a clean criminal record.

- Be able to devote yourself full time to your assignment : no part-time work, entrepreneurship, studies or paid activity at the same time as your V.I.E.

- Accept the letter of appointment that you sign with Business France which sets out your rights and your duties during your assignment.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collegially and collectively. In addition to professional progress, we offer initiatives and programs enabling employees to attain a healthy work-life balance.

To apply please submit your details below and on https://mon-vie-via.businessfrance.fr/.

Location: London   

Programme duration: Graduate position 

Who qualifies: penultimate or final year students completing bachelor’s or master’s degree  

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 

As part of QRT's Platform Technology Services, you will join a global group bringing together our Cloud, Infrastructure, Network Operations, and Security teams. We design, build, and operate the high-performance platforms that power our research, trading, and business operations. We provide the secure, reliable, and scalable foundation that enables QRT to operate at the forefront of global quantitative trading. 

This graduate role is part of our Production Support function, delivering high-touch user support to QRT teams trading across all major EMEA and US markets. The team ensures the seamless operation of front-office trading flows by rapidly investigating and resolving any system issues. Our work involves close collaboration with both internal and external stakeholders to maintain and enhance QRT’s trading infrastructure on a daily basis, while also supporting core office technology needs. 

As a graduate in the Production Management team, you will: 

• Monitor and Support Trading Systems – Actively oversee trading flows across EMEA and US markets, responding quickly to incidents and minimising downtime. 

• Investigate and Resolve Issues – Troubleshoot system problems impacting front-office trading, working with developers, infrastructure teams, and external vendors to resolve them. 

• Manage Day-to-Day Infrastructure – Assist in maintaining trading and core office infrastructure, ensuring stable, secure, and efficient operation. 

• Enhance Tools and Processes – Identify areas for improvement, implement optimisations, and contribute to automation initiatives that make support faster and more effective. 

• Gain Market and System Knowledge – Develop an understanding of QRT’s trading platforms, infrastructure components, and how technology supports our global trading activities. 

• Collaborate Across Teams – Work closely with traders, technologists, and infrastructure engineers to deliver high-quality production support. 

Your current skillset  

• Technical Support Skills – Ability to support trading infrastructure, including manual trading applications, algorithmic trading platforms, exchange/FIX connectivity systems, and risk systems. 

• Operating Systems – Comfortable working with both Windows and Linux environments. 

• Operational Readiness – Ensure all trading components are operational before the start of each trading day. 

• Collaboration – Coordinate with front-to-back teams to investigate and resolve issues quickly and effectively. 

• Release Management – Support the deployment process while ensuring the stability of the production environment. 

• Data Management – Maintain and support static databases and associated processes. 

• Tool Development – Build and improve monitoring tools to enhance visibility of the trading environment. 

• Availability – Willingness to provide evening/weekend support when required (typically via remote access). 

• Problem-Solving & Analysis – Strong analytical skills with the ability to diagnose and resolve complex issues, taking full ownership through to resolution. 

• Communication – Excellent written and verbal communication skills, with the ability to convey technical issues clearly. 

• Interests & Knowledge – An interest in Windows desktop/server administration and Linux OS. 

Interviewing 

• Apply Online - Applications are reviewed on a rolling basis, so we encourage you to apply early. 

• Technical Assessment - If your application is shortlisted, you’ll be invited to complete a coding challenge to assess your technical skills. 

• Shortlisting - Our engineering teams will review your background and coding challenge performance to select candidates for the next stage. 

• Interviews - Shortlisted candidates will receive a request to attend a range of technical and soft skill interviews via Teams or onsite. 

• Offer - Successful candidates will receive an offer to join QRT. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.