Your future role at QRT &nbsp; As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design.&nbsp;Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas:&nbsp; <ul><li>Quantitative Data Analyst – Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale.&nbsp;</li><li>Data Engineer – Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively.&nbsp;</li><li>Data Platform Engineer – Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data.&nbsp;</li></ul>&nbsp;Your present skillset&nbsp;<ul><li>Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming.&nbsp;</li><li>Programming – Experience with Python and an interest in using software to solve data or infrastructure problems.&nbsp;</li><li>Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter.&nbsp;</li><li>Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading.&nbsp;</li><li>Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions.&nbsp;</li><li>Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers.&nbsp;</li><li>Approach – Self-motivated and keen to develop autonomy as you learn.&nbsp;</li></ul> Preferred qualifications (a plus):&nbsp;<ul><li>Knowledge of SQL or NoSQL databases.&nbsp;</li><li>Experience with front-end development.&nbsp;</li><li>An interest in financial markets and/or algorithmic trading.&nbsp;</li></ul>&nbsp;

United Kingdom

Finance & Banking

Technology & IT

France

Switzerland

Netherlands

Denmark

Poland

Computer science

Internship, Data Engineering

Your future role at QRT&nbsp; As a Technology Intern, you’ll help build the systems, platforms and tools behind QRT’s research, trading and investment activities. You’ll work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance, reliability and good engineering judgement matter.&nbsp;Depending on your interests and strengths, you may join one of two Technology disciplines.&nbsp; Software Engineer (London, Wrocław, Zurich)&nbsp; Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets, brokers and data providers, as well as the systems used for order generation, execution, analytics, risk management and P&amp;L reporting.&nbsp;The engineering problems vary considerably in scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible to users across the firm.&nbsp;As an intern, you’ll work with experienced engineers, quantitative developers and researchers on a defined technical problem. You’ll be expected to understand the problem properly, make sensible engineering choices and build something useful.&nbsp; Examples of projects you may work on include:&nbsp;<ul><li>AI-Powered Static Analysis – Build a tool combining static analysis and large language models to identify double-deletion and memory-management issues in our public API.&nbsp;</li><li>Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders, making strategy testing more representative of live trading.&nbsp;</li><li>Risk Data Platform – Extend our risk data platform to provide the data required to support trading in a new trade type.&nbsp;</li><li>Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity.&nbsp;</li></ul> Quantitative Developer (London, Paris, Wrocław, Dubai, Aarhus, Amsterdam) Quantitative Developers work at the intersection of research, trading and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse markets and run strategies in production.&nbsp;The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning platforms or creating tools that make complex data easier to work with.&nbsp;You’ll work on live technical problems where performance, reliability and iteration speed all matter. It’s a collaborative role with direct exposure to quantitative research, financial markets and production trading systems.&nbsp; Examples of projects you may work on include:&nbsp;<ul><li>Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter.&nbsp;</li><li>Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently.&nbsp;</li><li>Research and Trading Tools – Design tools that simplify workflows, improve access to data and make complex information easier to understand through effective visualisation. You’ll work directly with traders, researchers and risk teams to understand their problems and build practical solutions.&nbsp;</li></ul> Your current skillset&nbsp; <ul><li>Eligibility: Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject, on track for a 2:1 or above from a leading institution.&nbsp;</li><li>Interest in technology: You enjoy solving technical problems and are curious about how systems work. You’re interested in building things, not just studying them.&nbsp;</li><li>Software engineering experience: We value hands-on experience wherever you gained it — through personal projects, open-source contributions, hobbies, internships or academic work.&nbsp;</li><li>Programming: Proficiency in C++, C# or Python.&nbsp;</li><li>Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux.&nbsp;</li><li>Mindset: Curious, proactive and comfortable asking questions. You look for ways to make systems simpler, faster or more reliable and can turn those observations into practical improvements.&nbsp;</li><li>Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem.&nbsp;</li></ul>

Internship, Software Engineering and Quantitative Development

English

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From Student to Engineer : Tech Roles at QRT

Qube Research & Technologies (QRT)

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