Франция
Великобритания2027 - Internship, Data Engineering
1 мес. назад
ФранцияВеликобританияTrainee
Internship position to work on data engineering projects supporting quantitative research and trading activities.
Будет плюсом
- Knowledge of SQL or NoSQL databases.
- Experience with front-end development.
- An interest in financial markets and/or algorithmic trading.
Другое
- Programme duration: from 5 to 6 months, starting in 2027.
- Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.
- 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.
- Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems.
- Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership
- 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.
- 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:
- 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.
- 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.
- 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.
- Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming.
- Programming – Experience with Python and an interest in using software to solve data or infrastructure problems.
- Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter.
- Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading.
- Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions.
- Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers.
- Approach – Self-motivated and keen to develop autonomy as you learn.
- Application – Submit your application online. We review applications on a rolling basis.
- 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 technical foundations, how you approach unfamiliar problems and how you work with others.