2026 Internship/Graduate - Quantitative Research/Trading

Programme duration

From 3–6 months, starting in 2026.

Who qualifies

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

About QRT

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

Over the years, QRT has invested in a global research and execution platform deployed across geographies and asset classes. The platform spans 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 to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment where collaboration is key. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for 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 Research Intern, you could contribute to one of two complementary areas within one of QRT's systematic teams—spanning high, mid, and low frequencies:

Research

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. You will collaborate with fellow researchers to exchange ideas and refine methodologies and will be trained to lead the full research cycle—from idea generation to implementation.

Trading

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behavior, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior researchers and traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production.

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us.

Your present skillset

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering
• High level of technical knowledge in statistics, machine learning, NLP, or AI techniques is a plus
• Coding skills in at least one leading programming language (Python and C++ or C#)
• Experience exploring large datasets across multiple time frames is a plus
• Capacity to multi-task in a fast-paced environment while maintaining strong attention to detail
• Ability to work autonomously, in a collegial and collaborative setting, with colleagues from diverse backgrounds
• Excellent communication skills
• Fluent in English; any other language is a plus

Interviewing

• Apply online — Applications are evaluated on a rolling basis by a member of our Talent Acquisition team. We read every application carefully and look for thoughtful answers that reflect genuine interests.
• 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 on-site or via Microsoft Teams. These will assess technical expertise and alignment with our culture and values.

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with problems similar to those encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, offering early visibility in the recruitment process. Challenge data (ens.fr): Challenge data (ens.fr)

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 support a healthy work-life balance.