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 in all liquid asset classes across the world. The firm is technology and data-driven, applying a scientific approach to investing. By combining data, research, technology, and trading expertise, QRT brings a collaborative mindset to solve complex challenges. QRT’s culture of innovation supports its ambition to deliver high quality returns for investors.

Over the years, QRT has built a global research and execution platform deployed across geographies and asset classes. The platform spans high- to low-frequency trading systems, leveraging cutting-edge technology, smart automation, and scalable processes to move fast and deliver at scale.

Your future role at QRT

Throughout the recruitment process, QRT 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 may contribute to one of two complementary areas within 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.

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. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while helping to identify and manage potential risks.

Working closely with senior Researchers and Traders, you will refine and scale systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production.

What QRT is looking for

• 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 (plus).
• Coding skills required in at least one leading programming language (Python and C++ or C#).
• Experience exploring large datasets across multiple time frames (plus).
• Capacity to multi-task in a fast-paced environment while maintaining strong attention to detail.
• Ability to work autonomously in a collegial, collaborative setting, including with colleagues from diverse backgrounds and areas of expertise.
• Excellent communication skills.
• Fluency in English (any other language is a plus).

Interviewing

• Apply online: applications are evaluated on a rolling basis by a member of the Talent Acquisition team. QRT reviews 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 technical expertise and alignment with QRT’s culture and values.