Quant jobs / Qube Research & Technologies

Internship or Graduate, Quantitative Research and Trading – 2027

A 3 to 6 month programme where students join a systematic team on either signal research or live trading. It sits in a quantitative investment manager's research and trading platform spanning high to low frequency.

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.

Explore large datasets for predictive signals and test hypotheses
Separate durable signals from noise through repeated tests
Monitor signal behaviour and performance in production
Look for ways to improve execution efficiency and robustness

What they ask for

Required

Penultimate or final-year degree student
Quantitative foundations
Coding in Python, C++ or C#
Rigorous problem solving
Clear communication

Preferred

Statistics, machine learning, NLP or AI
Experience with large datasets across time horizons

Education: Penultimate or final-year bachelor's, master's or PhD students, ideally in a quantitative field such as data science, statistics, maths, physics or engineering.
Experience: Students and new graduates
Languages and tools: Python
C++
C#
Markets: multi-asset

How to prepare

Complete a signal-research mini project on public data with honest out-of-sample tests
Revise statistics, regression and overfitting control
Practise coding challenges in Python
Try a public quant data challenge

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

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.