Qube RT (QRT) · Hedge fund · Hong Kong, Singapore, Shanghai · Posted 2026-07-06
Apply now →Applications go to Qube RT (QRT)'s own site.
Programme duration: From 3-6 months, starting in 2026.
Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD.
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 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. Collaborating 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 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.
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 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 keeping strong attention to detail
- Ability to work autonomously, in a collegiate 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: Apply online on a rolling basis by a member of our Talent team. We encourage you to take part in our Data Challenges, which offer an opportunity to showcase your analytical and technical skills. QRT is an equal opportunity employer.