Quant jobs / Voleon

Senior Member of Research Staff – Voleon Securities

A senior research role at a new securities business that provides liquidity using ML strategies. It is an early hire in the buildout, leading research on prediction and optimisation.

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 research on models behind liquidity-provision strategies
Test new datasets for predictive value
Run live trading experiments to evaluate models
Apply methods such as optimal control, deep RL or causal inference
Mentor researchers on the team

What they ask for

Required

5-10+ years directing research projects
Statistical methods and machine learning expertise
Strong mathematics
Production-level Python or R
Large-scale computing
Technical communication and influence

Preferred

Optimal control, deep RL, deep learning or causal inference experience
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: Python
R

How to prepare

Study stochastic control and how it frames market-making
Read about RL for execution and inventory management
Review causal inference methods for market data
Build a small market-making simulation

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.