Quant jobs / Voleon

Senior Member of Research Staff – Optimization

A senior optimisation research role on the systems that decide how the fund trades given forecasts, costs and constraints. The person leads projects and mentors others.

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 large-scale constrained optimisation research
Oversee complex projects touching performance and risk
Test models in simulation and live trading
Mentor researchers

What they ask for

Required

5-10+ years in numerical methods and optimisation
Stochastic control and reinforcement learning
Running multiple projects
Large-scale computing
Statistical methods
Production Python or C++

Preferred

PhD in a relevant field

Education: PhD-level coursework required; PhD in a relevant field preferred
Experience: 5-10+ years in optimisation research
Languages and tools: Python
C++

How to prepare

Know large-scale convex and nonconvex solver techniques
Study how trading costs and liquidity constraints shape portfolios
Be ready to discuss past optimisation projects in depth
Practise writing clear design documents

What to study

The Portfolio and Factor Quant 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.