Quant jobs / Qube Research & Technologies

Internship, Quantitative Research and Trading – 2027

A 4 to 6 month European internship placing students in a systematic team on either research or trading. It sits in a global quantitative investment manager with some permanent opportunities.

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 datasets and build predictive signals
Iterate on tests to filter signals from noise
Track production signal behaviour and performance
Investigate strategies live to make them more robust

What they ask for

Required

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

Preferred

Statistics, machine learning, NLP or AI
Large-dataset experience

Education: Penultimate or final-year bachelor's, master's or PhD students, ideally in a quantitative field.
Experience: Students; no prior experience stated
Languages and tools: Python
C++
C#
Markets: multi-asset

How to prepare

Build a small signal-research project with proper train/test splits
Revise statistics and time-series basics
Practise coding assessments 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.