VIE in Research
A research placement through the French VIE overseas scheme for students pursuing an advanced degree. It sits in the firm's signal research function and focuses on finding predictive patterns in data.
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 statistical patterns that predict returns
- Present findings and methods to other researchers
- Write code to test ideas across several time frames
- Learn how the firm's research workflow runs
What they ask for
Required
- Currently pursuing an advanced degree in a quantitative field
- Coding in Python, R, Matlab, C++ or C#
- Statistics
- Attention to detail
- Multitasking under pressure
Preferred
- Machine learning, NLP or AI techniques
- Exploring large datasets across time frames
- Education
- Pursuing an advanced degree in data science, statistics, maths, physics or engineering
- Experience
- Students; applications go through the French VIE scheme
- Languages and tools
- Markets
- multi-asset
How to prepare
- Complete a signal-research project end to end on public market data
- Revise statistics: regression, hypothesis testing, overfitting
- Get comfortable with pandas on large datasets
- Check VIE eligibility rules early, as applications run through the French scheme
What to study
- Probability, Statistics and Financial Data
- Python and Data Primer
- Quantitative Research, Data and Backtesting
- Financial Machine Learning
The Quantitative Researcher 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.