Quant Researcher - C++ / Python- Global Hedge Fund

Jobs via eFinancialCareers
London, GB
Remote

Job Description

Summary

One of the world's most prestigious hedge funds is looking for an outstanding Quant Researcher to join one of their systematic trading pods.

This is a high-impact role, joining a small PM-led team that enjoys huge autonomy and are looking to grow their risk-taking. You'll work closely with the Portfolio Manager, drawing on your previous experience to develop quantitative investment models, build unique insights into various datasets, and engineer robust systems that will be used as part of the trading strategies. You'll also apply scientific methods to improve the efficiency of a research and trading pipeline.

If you're looking for a dynamic, entrepreneurial and supportive environment and you enjoy seeing the impact of your work on a daily basis, then this is the role for you!

Requirements

  • Strong technical academic background (Maths/Comp Sci/Engineering/Statistics) - Masters or PhD would be ideal
  • Experience using sophisticated mathematical tools in different contexts
  • Track record of having a scientific approach to analysing real-world problems and large amounts of empirical data
  • Strong programming skills in at least one language (C++ and Python preferred)
  • Financial industry experience preferred, but not required

Benefits & Incentives

  • Significant salary + a bonus tied to profits / trading strategy success
  • Greenfield work / big impact with lots of project ownership
  • Positive, friendly culture and rewarding place to work
  • Work-from-home opportunities

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact

To apply for this role, or for further information, please contact:

Maia Ellis

maia.ellis@oxfordknight.co.uk

020 3745 6539

linkedin.com/in/maia-ellis-38a577193

Skills & Requirements

Technical Skills

c++pythonmathematical toolsquantitative investment modelsscientific methodsanalyticaldetail-orientedhedge fundquantitative finance

Level

mid

Posted

3/18/2026

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