Senior Member of Research Staff
A senior research role leading projects in ML-based market prediction and portfolio optimisation at a systematic hedge fund. The person oversees work from basic research to live trading and mentors other researchers.
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.
- Lead several research projects on prediction and portfolio construction at once
- Evaluate new datasets and models, then see them through to production
- Design simulations and live experiments to measure model success
- Mentor junior researchers and help recruit
What they ask for
Required
- 5-10+ years directing research projects
- Expertise in statistical methods and machine learning
- Strong mathematical ability
- Production-level Python or R
- Large-scale computing experience
- Clear technical writing and influence across teams
Preferred
- PhD in a relevant field
- Education
- PhD-level coursework required; PhD in a relevant field preferred
- Experience
- 5-10+ years of applied research leadership
- Languages and tools
How to prepare
- Be able to explain a research project end to end, including failure modes
- Study overfitting control and multiple-testing in financial ML
- Write up past work as short, clear research notes
- Review portfolio optimisation with transaction costs
What to study
- Financial Machine Learning
- Probability, Statistics and Financial Data
- Portfolio Theory and Quantitative Investment
- 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.
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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.