INTERNSHIP DETAILS

2026 - Internship, Quantitative Research/Trading

CompanyQube Research & Technologies
LocationNot specified
Work ModeOn Site
PostedApril 22, 2026
Internship Information
Core Responsibilities
As a Quantitative Research Intern, you will develop high-quality predictive signals and contribute to the live deployment of QRT’s research. You will collaborate with senior Researchers and Traders to refine and scale systematic processes.
Internship Type
full time
Company Size
2204
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all asset classes across the world. Driven by a shared passion for data, research, technology and trading expertise, we strive to deliver high-quality returns for our investors. Established in 2018, QRT can rely on its employees across 16 offices across the globe. We currently have multiple open positions on our website, please check and apply on line: https://www.qube-rt.com/careers/ QRT supports various coding initiatives as well as academic projects developing and promoting maths and science education. More information: https://www.qube-rt.com/commitments
About the Role

Programme duration: From 4-6 months, starting in 2026. Most individuals join 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. 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 in 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 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 keeping 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:   

  • Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 
  • Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

  

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: 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 are offering initiatives and programs to enable employees achieve a healthy work-life balance 

 

Key Skills
Data ScienceStatisticsMathematicsPhysicsEngineeringMachine LearningNLPAI TechniquesPythonC++C#Large DatasetsAttention to DetailAutonomyCollaborationCommunicationEnglish