2027 - Internship, Quantitative Research

targetjobs UK; Aarhus; On-site; DKK 100,000 - 167,000; Full time

Job summary

Qube Research & Technologies (QRT) invites penultimate- and final-year students to join our systematic teams in a 4–6 month internship starting in 2027. You’ll work on real research and trading problems across high, mid, and low frequencies, with mentors and peers in a rigorous, data-driven environment.

Locations include Aarhus, London and other global hubs; you’ll gain hands-on experience in research or trading, developing practical skills in data analysis, programming, and model validation

Qualifications

• Penultimate or final-year student pursuing a bachelor’s, master’s or PhD.
• Strong analytical and quantitative skills with passion for data-driven research.
• Experience with Python, C++ or C# programming.
• Interest in statistics, machine learning, NLP, or AI is beneficial.
• Comfort with exploring large datasets across time horizons.

Responsibilities

• Develop predictive signals from large datasets.
• Design and test hypotheses; iteratively evaluate results.
• Collaborate with researchers and traders to deploy models.
• Monitor signals, track performance, and identify risks in production.
• Communicate findings clearly to the team.

Skills

Academic Background

Quantitative Foundations

Programming

Research Interests

Data

Problem Solving

Independence and Collaboration

Communication

Languages

Education

Pursuing an advanced degree in a quantitative field (Data Science, Statistics, Mathematics, Physics or Engineering)

Tools

Python

C++

C#

Job description

Programmes Offered: Final-year internship, penultimate-year internship, some permanent opportunities.

Programme Duration: 4–6 months, starting in 2027.

Locations: Aarhus, Budapest, Dubai, Geneva, London, Paris, Zurich.

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 matters. We’re looking for interns who are curious, creative, and collaborative. You should be comfortable exploring ideas, asking questions, and learning as you go.

Your Present Skillset

• 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.

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 offer initiatives and programs to enable employees to achieve a healthy work-life balance.