Quant jobs / Marshall Wace

Quant Developer - Quant Associate Programme - 2027

The quant implementation team turns systematic research into monitored trading models. This associate programme provides practical training while contributing to production models, portfolio allocation and simulation reliability.

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.

Integrate research changes into live model implementations
Build checks for trading-model behaviour and performance
Compare simulation assumptions against observed trading
Help automate strategy allocation and resolve production issues

What they ask for

Required

Postgraduate quantitative training
Python, C++ or comparable coding skills
Probability and statistics
Numerical techniques
Analytical problem-solving
Clear technical communication
Managing competing priorities

Education: Master or doctoral qualification in a strongly quantitative subject.
Experience: Early-career associate intake; start between January and September 2027.
Languages and tools: Python
C++

How to prepare

Implement a monitored trading simulation with explicit checks
Show how a research model is deployed and tested
Explain how simulation assumptions differ from live execution

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Marshall Wace’s site before applying: requirements, location and pay can change after we check them.

View the posting on Marshall Wace’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Marshall Wace and doesn’t handle applications.