Description

We are partnering on an exclusive basis with a high-profile systematic hedge fund based in London to hire a talented Quant Researcher .

This is an exciting opportunity to join a leading firm at the forefront of systematic investing. The ideal candidate will have a strong academic background (PhD in a STEM discipline) and a passion for leveraging data science and machine learning to drive innovation in trading strategies.

Key Responsibilities:

• Conduct cutting-edge quantitative research using large-scale financial and alternative datasets.
• Design, develop, and implement systematic trading models and strategies.
• Apply advanced statistical, machine learning, and data science techniques to generate actionable insights.
• Collaborate closely with researchers, engineers, and portfolio managers to test and optimize trading ideas.
• Present research findings clearly to both technical and non-technical stakeholders.

Ideal Candidate Profile:

• PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or other quantitative field.
• Expertise in data science, statistical modelling, and machine learning (including supervised, unsupervised, and reinforcement learning).
• Strong proficiency in Python (or similar research-oriented languages).
• Highly analytical, collaborative, and motivated to work in a fast-paced, intellectually rigorous environment.

Experience in the financial sector is a plus, but they are equally interested in candidates from non-financial backgrounds who bring exceptional data science and machine learning expertise.

To apply send a copy of your cv to

mailto:[email protected]
.