2027 – Internship, Quantitative Research and Trading

Qube Research & Technologies; Greater London; On-site; GBP 8,900 - 13,000; Part time

Benefits offered by this job

Data Challenges

Job summary

Qube Research & Technologies invites penultimate- or final-year students to join a quantitative researcher internship. You will work on real research or trading problems, learning from experienced researchers and traders in a rigorous, collaborative environment.

The role spans research and trading, with opportunities to contribute to live signals and data-driven projects. You’ll be assessed via a technical coding challenge and interviews (on-site or Teams), and may participate in Data Challenges

Qualifications

• Pursuing an advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics or Engineering.
• Strong analytical skills and an interest in using mathematics, statistics and computation to understand complex problems.
• Coding experience in at least one leading programming language, including Python, C++ or C#.
• Knowledge of statistics, machine learning, NLP or AI techniques is useful but not essential.
• Experience exploring large datasets across multiple time horizons is a plus.
• Able to work through complex problems rigorously while maintaining strong attention to detail.
• Independent and collaborative, able to work autonomously while exchanging ideas with colleagues from different disciplines.
• Able to explain your reasoning and communicate technical ideas clearly.
• Fluent in English; additional languages are a plus.

Responsibilities

• Develop predictive signals from large and varied datasets and test hypotheses.
• Design tests, question results, and iterate on approaches with researchers.
• Work with the live trading platform to monitor signals, track performance, and improve execution.
• Collaborate with senior researchers and traders to understand strategy behavior and robustness.
• Apply quantitative analysis and programming to live systems.

Skills

Analytical skills

Problem solving

Independence & collaboration

Communication

Fluent English

Education

Advanced degree in quantitative field

Tools

Python

C++

C#

Job description

Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities

Who qualifies: Penultimate or final-year students completing a bachelor’s, master’s or PhD degree

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies.

Research is central to how QRT invests. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from high to low frequency. This gives our researchers access to large and diverse datasets, sophisticated research tools and the infrastructure needed to turn research ideas into live trading strategies.

Our internships are designed to give students meaningful experience of that process. You’ll join a systematic team, work on real research or trading problems and learn from experienced researchers and traders. The environment is rigorous and collaborative: ideas are tested against data, assumptions are challenged and good questions matter as much as quick answers.

Your future role at QRT

Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit.

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 focus will be on developing predictive signals from large and varied datasets. You’ll explore the data for patterns and form hypotheses about what might be driving them. From there, research is iterative: you’ll design tests, question the results, adjust your approach and test again. Working with other researchers, you’ll learn to distinguish promising signals from noise. In doing so, you’ll experience the full research process, from an initial observation to something that can be used in live trading.

Trading

You’ll contribute to the live deployment of QRT’s research by working directly with our systematic trading platform. You’ll monitor how signals behave in production, track performance, improve execution efficiency and help identify and manage potential risks. Working closely with senior Researchers and Traders you’ll investigate how strategies behave in production and look for ways to make them more robust and scalable. You’ll use quantitative analysis and programming to understand what is happening in live systems and determine where improvements can be made.

Across both areas, how you approach a problem matter. We’re looking for interns who are curious, creative and collaborative. You should be comfortable exploring ideas, asking questions and learning as you go.

• Academic background - Pursuing an advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics or Engineering.
• Quantitative foundations - Strong analytical skills and an interest in using mathematics, statistics and computation to understand complex problems.
• Programming - Coding experience in at least one leading programming language, including Python, C++ or C#.
• Research interests - Knowledge of statistics, machine learning, NLP or AI techniques is useful but not essential.
• Data - Experience exploring large datasets across multiple time horizons is a plus.
• Problem solving - Able to work through complex problems rigorously while maintaining strong attention to detail.
• Independence and collaboration - Comfortable working autonomously while exchanging ideas and working closely with colleagues from different disciplines and backgrounds.
• Communication - Able to explain your reasoning and communicate technical ideas clearly.
• Languages - Fluent in English; additional languages are a plus.

Interviewing

• Technical Assessment - Selected candidates will complete a coding challenge focused on core programming and problem-solving skills.
• Interviews - Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your quantitative and technical thinking, how you approach unfamiliar problems and how you work with others.

We also encourage candidates to take part in one of our Data Challenges. These are an opportunity to work on problems relevant to quantitative research and demonstrate your analytical and technical approach. Strong performance may lead to direct follow-up from our team: 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.