Quant jobs / Voleon

Member of Research Staff (London)

A research role in London building ML models for market prediction and portfolio optimisation. It works alongside engineers who help ship models to production.

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.

Assess new datasets for predictive value
Build and validate models for production
Design experiments to improve simulations
Prototype ideas from recent literature

What they ask for

Required

Modern statistical methods and machine learning
Track record as an applied researcher
Strong mathematical ability
Production-quality Python or R
Large-scale computing problems
PhD-level coursework

Preferred

PhD in a relevant field

Education: PhD-level coursework required; PhD in a relevant field preferred
Experience: Applied research background; finance experience not required
Languages and tools: Python
R

How to prepare

Complete an end-to-end ML project on noisy financial data with honest backtesting
Review statistics at graduate level
Practise writing production-quality Python
Read current ML-for-finance papers

What to study

The NLP and ML Quant 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 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.