At a Glance
- Tasks: Develop predictive signals and contribute to systematic trading strategies.
- Company: Join Qube Research & Technologies, a global leader in quantitative investment.
- Benefits: Gain invaluable experience, mentorship, and potential for a full-time role.
- Why this job: Work with cutting-edge technology and make a real impact in finance.
- Qualifications: Pursuing a degree in data science, statistics, or related fields; coding skills required.
- Other info: Dynamic, collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 500 - 1500 £ per month.
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.
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.
Internship, Quantitative Research/Trading employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Internship, Quantitative Research/Trading
✨Tip Number 1
Get your networking game on! Connect with professionals in the industry through LinkedIn or attend relevant events. We can’t stress enough how important it is to build relationships; you never know who might help you land that internship.
✨Tip Number 2
Show off your skills! Participate in our Data Challenges to demonstrate your analytical and technical prowess. It’s a fantastic way to get noticed by our team and gives you a chance to tackle real-world problems we face at QRT.
✨Tip Number 3
Prepare for those interviews like a pro! Research our company culture and be ready to discuss how your skills align with our mission. We love seeing candidates who are genuinely interested in what we do and can articulate their passion.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we read every application carefully, so make sure yours stands out with thoughtful answers that reflect your genuine interests.
We think you need these skills to ace Internship, Quantitative Research/Trading
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for quantitative research and trading shine through. We want to see that you're genuinely excited about the opportunity to work with data and technology, so share what drives you in this field!
Tailor Your Application: Make sure to customise your application to highlight relevant skills and experiences that align with the internship role. We love seeing how your background fits into our culture of innovation and collaboration, so don’t hold back on showcasing your unique strengths!
Be Specific and Thoughtful: In your written responses, be as specific as possible. We read every application carefully, so thoughtful answers that reflect your genuine interests will definitely help you stand out. Don’t just say you’re interested; explain why and how it connects to your goals.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us that you’re proactive and keen to join our team!
How to prepare for a job interview at Qube Research & Technologies
✨Know Your Stuff
Make sure you brush up on your quantitative skills and technical knowledge. Familiarise yourself with statistics, machine learning, and programming languages like Python or C++. Being able to discuss these topics confidently will show that you're ready for the challenges of the role.
✨Show Your Curiosity
QRT values curiosity and creativity, so come prepared with questions about their research processes and trading strategies. This not only demonstrates your interest in the role but also gives you a chance to engage with the interviewers and showcase your analytical thinking.
✨Engage in Data Challenges
Participating in one of QRT's Data Challenges is a fantastic way to stand out. It allows you to demonstrate your problem-solving skills and gives you a taste of the work you'll be doing. Plus, strong performance could lead to direct follow-up from the team!
✨Cultural Fit Matters
During the interview, highlight your ability to work collaboratively in diverse teams. QRT thrives on innovation and teamwork, so share examples of how you've successfully worked with others in the past. This will help them see how well you align with their company culture.