2027 – Internship or Graduate, Software Engineer and Quantitative Developer

The role

Technology interns will help build systems, platforms, and tools for research, trading, and investment activities. You will work alongside engineers, researchers, and traders on production technology and technical problems.

What you will do

• Build systems, platforms and tools behind research, trading and investment activities
• Contribute to production technology
• Solve problems where performance, reliability and good engineering judgement matter
• Understand problems properly, explore different approaches and make sensible engineering choices
• Build tools combining static analysis and large language models
• Extend Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders
• Design and build data solutions for quantitative research
• Create lightweight trading interfaces
• Build high-performance C++ systems for real-time trading
• Develop platforms used for quantitative research including machine learning systems and data pipelines

Required qualifications

• Penultimate or final-year students pursuing a Bachelor’s or Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject from a leading institution
• Hands-on experience writing and working with software, gained through academic or independent projects
• Proficiency in C++, C# or Python
• Familiarity with scripting languages such as Python or Bash
• Familiarity with Git, SQL, GCC and Linux

Benefits

• Initiatives and programs to enable employees achieve a healthy work-life balance

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. They use a scientific approach bringing together data, research, technology and trading expertise.