Qube Research & Technologies · Paris
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, Master's. Qube Rese...
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.