Quant jobs / Voleon

Member of Research Staff – Reinforcement Learning, Voleon Securities

A reinforcement learning research role at a new ML-led securities business providing market liquidity. It is part of the early research group building the trading models.

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.

Propose and test RL methods for trading decisions
Evaluate new datasets for predictive value
Run simulations and live experiments
Scale RL training on GPUs
Follow RL literature for new methods

What they ask for

Required

Reinforcement learning or optimal control background
Top-tier RL publication record
Strong mathematics
Production Python
GPU computing
PhD-level coursework

Preferred

PhD in a relevant field

Education: PhD-level coursework required; PhD in a relevant field preferred
Experience: Strong RL research record; industry RL experience welcomed
Languages and tools: Python

How to prepare

Implement RL for a toy market-making or execution environment
Study optimal control and Markov decision processes
Read RL-for-trading papers critically
Practise scaling training on GPUs

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.