Senior Quant Researcher – Equities (Systematic Trading)

Company: Tempest Vane Partners
Apply for the Senior Quant Researcher – Equities (Systematic Trading)
Location: London
Job Description:

My client is a dynamic and fast moving Systematic Trading business headquartered in Mayfair, London. Their focus has traditionally been on low and mid-frequency Systematic Futures, FX & Rates, however they are now looking to expand their research into the Equities space.

They are looking for a strong Quantitative Researcher with in-depth experience of Systematic Equities.

What You’ll Get

  • An opportunity to work in one of the most exciting Systematic trading businesses in the City.
  • An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
  • Incredible career progression opportunities with potential access to all areas of the business.
  • A market leading compensation package including generous basic salary and annual bonus.
  • Benefits including pension, private healthcare, life assurance and 25 days vacation.

What You’ll Do

  • Conduct in-depth quantitative research to develop and enhance systematic equity strategies.
  • Analyse large, complex datasets to identify predictive signals and market inefficiencies.
  • Design, test, and validate alpha models using robust statistical and machine learning techniques.
  • Collaborate with portfolio managers and engineers to implement strategies into production.
  • Monitor and evaluate model performance, ensuring robustness and scalability.
  • Stay current with academic research and industry developments in quantitative finance and equities markets.

What You’ll Need

  • A Masters or PhD from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree.
  • Solid experience in Equities Systematic Trading.
  • Solid track record of trade idea generation, original research and strategy development.
  • Proficiency in back-testing, simulation, and statistical techniques.
  • Experience working with large datasets and data analysis tools.
  • Strong programming skills in Python and/or C++.

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Posted: May 27th, 2026