Internship, Software Engineering and Quantitative Development – 2027
A 3 to 6 month or 12-month technology placement with software engineer and quantitative developer tracks. It sits in a systematic investment manager's technology group and can lead to a graduate role.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Extend an exchange simulator with market and algorithmic orders
- Extend a risk data platform for a new trade type
- Build C++ trading components or research and ML data pipelines
- Make tools that help traders and researchers view data
What they ask for
Required
- Penultimate or final-year bachelor's or master's in a STEM field
- On track for a 2:1 or above
- Hands-on software projects
- C++, C# or Python
- Git, SQL, GCC and Linux
- Education
- Penultimate or final-year bachelor's or master's in a STEM field, on track for a 2:1 or above.
- Experience
- Students; project experience valued
- Languages and tools
How to prepare
- Build a toy exchange simulator with different order types
- Practise C++ and Linux tooling
- Write a small research data pipeline with tests
- Prepare for coding assessments
What to study
- Python and Data Primer
- Modern C++ for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
- Quantitative Data Engineering
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Qube Research & Technologies’s site before applying: requirements, location and pay can change after we check them.
View the posting on Qube Research & Technologies’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Qube Research & Technologies and doesn’t handle applications.