INTERNSHIP DETAILS

2026 - Internship, Quantitative Research

CompanyQube Research & Technologies
LocationHouston
Work ModeOn Site
PostedApril 1, 2026
Internship Information
Core Responsibilities
As a Quantitative Research Intern, you will develop high-quality predictive signals and identify hidden statistical patterns and market opportunities. You will collaborate with fellow researchers and lead the full research cycle from idea generation to implementation.
Internship Type
full time
Company Size
2149
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

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

 

Q-Tx LLC, based in Houston, Texas, is an independent commodities trading business, leveraging our passion for data, research, technology and trading expertise to deliver consistent and high-quality returns for our investors.

We are affiliated with Qube Research and Technologies, a global quantitative and systematic investment manager.

 

Your future role at Q-Tx   

As a Quantitative Research Intern, 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.   

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 Microsoft Teams which will 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 processChallenge data (ens.fr)  

 

 

Key Skills
Data ScienceStatisticsMachine LearningNLPAI TechniquesPythonC++C#Large DatasetsAttention to DetailAutonomyCollaborationCommunicationCuriosityCreativity
Categories
Data & AnalyticsScience & ResearchTechnology
2026 - Internship, Quantitative Research - InternshipsHQ