Quant jobs / Voleon
Research Intern (London)
A research internship for PhD students on ML-based trading models at a systematic hedge fund. Interns work with the research staff across data, modelling and production code.
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.
- Build predictive models for automated trading
- Prepare and clean large datasets
- Prototype research ideas
- Turn models into production software
What they ask for
Required
- Current graduate student in a quantitative field
- Finishing a PhD in Dec 2026 or during 2027
- Statistical methods and machine learning
- Publications at top venues
- Programming experience
- Work authorisation in the UK
- Education
- Current PhD student in a quantitative discipline
- Experience
- PhD students graduating Dec 2026 or in 2027
How to prepare
- Have a polished ML project and papers to discuss
- Revise statistics and learning theory
- Build a small market-prediction project on public data
- Practise clean, tested Python
What to study
- Financial Machine Learning
- Probability, Statistics and Financial Data
- Python for Quantitative Finance
- Quantitative Research, Data and Backtesting
The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Voleon’s site before applying: requirements, location and pay can change after we check them.
View the posting on Voleon’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Voleon and doesn’t handle applications.
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