2027 Internship/Graduate - Quantitative Research/Trading

Programme Duration

From 3–6 months, starting in 2027.

Who Qualifies

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

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. Our culture of innovation supports our ambition to deliver high-quality returns for our investors.

Over the years, QRT has developed a global research and execution platform deployed across all geographies and asset classes. The 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—helping us move fast, think big, and deliver at scale.

Internship Overview

QRT is inviting a new cohort of outstanding individuals to join us in the year ahead. The internship offers a stimulating, intellectually rigorous, 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 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 you 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 behaviour, 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.

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 required in at least one leading programming language (Python and C++, or C#).
• Experience in 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, and with colleagues from diverse backgrounds and areas of expertise.
• Excellent communication skills.
• Fluent in English; any other language is a plus.

Interviewing & Application Process

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. QRT reads every application carefully and looks for specific, thoughtful answers that reflect genuine interests.
• 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 QRT’s culture and values.