2026 - Internship, Data Engineering

Programme Duration

From 5 to 6 months, starting in 2026.

Who Qualifies

Penultimate or final year students completing a Bachelor's or Master's degree.

About Qube Research & Technologies (QRT)

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise shapes our collaborative mindset, enabling us to solve complex challenges. QRT’s culture of innovation drives our ambition to deliver high-quality returns for our investors.

Over the years, QRT has developed a global research and execution platform covering all geographies and asset classes. This platform spans 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 invite a new cohort of outstanding individuals to join us in the coming year. 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 align your skills, interests, and potential with 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, C#, or C++.
• Interest in building 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. Applications are reviewed on a rolling basis; early application is recommended 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 offer initiatives and programs to enable employees to achieve a healthy work-life balance.