2026 - Internship, Quantitative Research
Domain
Tech Stack
Must-Have Requirements
- ✓Pursuing advanced degree in quantitative field (data science, statistics, mathematics, physics, engineering)
- ✓Coding skills in at least one programming language (Python and/or C++ or C#)
- ✓Excellent communication skills
- ✓Fluent in English
- ✓Ability to work autonomously and collaboratively
- ✓Capacity to multi-task in fast-paced environment
Nice to Have
- -High level of technical knowledge in statistics, machine learning, NLP, or AI techniques
- -Experience exploring large datasets across multiple time frames
- -Additional language skills beyond English
Description
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, y our 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 process
Challenge data (ens.fr)