2027 – Internship, Data Engineering

The role

You will work on systems and datasets behind quantitative research and trading. You will collaborate with traders, researchers and engineers on data acquisition, engineering and platform design.

What you will do

• Source and evaluate new datasets based on priorities from trading desks
• Explore how new data can support research
• Manage sourcing projects from acquisition through to design
• Work with Data Engineers to bring useful datasets into production at scale
• Work with large datasets across research and trading platforms
• Design and implement data stores and APIs
• Monitor data processes
• Build production-ready datasets
• Build and maintain infrastructure used to ingest, process and serve data
• Work on real-time and batch workflows

Required qualifications

• Penultimate or final-year students completing a bachelor’s or master’s degree
• Computer science foundations in algorithms, data structures, parallel programming and object-oriented programming
• Experience with Python
• Interest in using software to solve data or infrastructure problems
• Interest in software engineering, infrastructure or data engineering
• Curiosity about high-performance, real-time systems
• Rigorous, structured approach to analysing unfamiliar problems
• Able to communicate clearly and collaborate directly with researchers, traders and engineers
• Self-motivated and keen to develop autonomy

Nice to have

• Knowledge of SQL or NoSQL databases
• Experience with front-end development
• An interest in financial markets and/or algorithmic trading

Before you apply

• Selected candidates will complete a coding challenge focused on core programming and problem-solving skills
• Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams

About the company

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide.