2027 - Internship, Quantitative Research and Trading

The role

Interns will join a systematic team to work on real research or trading problems. You will either develop predictive signals from large datasets or contribute to the live deployment of research by monitoring signal behavior and improving execution efficiency.

What you will do

• Develop predictive signals from large and varied datasets
• Explore data for patterns and form hypotheses
• Design tests, question results, and adjust approaches
• Contribute to the live deployment of research using a systematic trading platform
• Monitor how signals behave in production
• Track performance and improve execution efficiency
• Identify and manage potential risks
• Investigate how strategies behave in production to make them robust and scalable
• Use quantitative analysis and programming to understand live systems

Required 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#
• Able to work through complex problems rigorously while maintaining strong attention to detail
• Comfortable working autonomously while exchanging ideas and working closely with colleagues
• Able to explain reasoning and communicate technical ideas clearly
• Fluent in English

Nice to have

• Knowledge of statistics, machine learning, NLP or AI techniques
• Experience exploring large datasets across multiple time horizons
• Additional languages

Before you apply

• Penultimate or final-year students completing a bachelor’s, master’s or PhD degree
• 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.