Qube RT (QRT) · Hedge fund · Aarhus, Dubai, Geneva, London, Paris, Zurich, Budapest · Posted 2026-07-22
Apply now →Applications go to Qube RT (QRT)'s own site.
Programme duration: From 4-4 months, starting in 2026. Most individuals enter in April, May, or June of each year.
Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree.
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. We have a commitment to high quality returns for our investors.
Over the years, QRT has invested in a global research and execution platform, covering all sectors and asset classes, from high-frequency to multi-year research. Our culture is centred around technology, automation, and industrialized processes.
You will join a community of graduates and interns who are all looking to build a future career within QRT. We foster collaboration and provide a stimulating environment, with the possibility to secure a full-time graduate position after successful internship.
Your future role at QRT
As a Quantitative Research Intern, you could contribute in two complementary areas in QRT's systematic teams:
Research: Develop high-quality predictive signals, access vast and diverse datasets to identify statistical patterns, collaborate with researchers, lead the research cycle from idea to implementation.
Trading: Contribute to live deployment of research, monitor signal behavior, optimize execution, manage risks, work with senior Researchers and Traders to scale systematic processes.
We seek curious, creative, collaborative interns.
Your present skillset:
- Pursuing an advanced degree in a quantitative field (data science, mathematics, physics, engineering)
- High technical knowledge in statistics, machine learning, NLP or AI is a plus
- Coding in at least one leading programming language (Python and C++ or C#)
- Experience exploring large datasets across multiple time frames is a plus
- Attention to detail, autonomous, collaborative, communication skills.
- Fluent in English.
Interviewing: online applications on rolling basis, technical assessment, interviews via Teams or onsite. Data challenges may provide favourable consideration. QRT is an equal opportunity employer.