Vacancy detail

Quantitative Researcher

£110,000 – £120,000 + Performance Related Bonuses

Location: United Kingdom (London – City of London, London) Type: Permanent

My client is a top-tier hedge fund specializing in systematic trading strategies across global markets. The firm have a strong track record of success, through combining cutting-edge technology and rigorous research, and are in their next growth phase.

They are looking to hire a Quantitative Researcher to join their Global Equities team in London. This is an opportunity to contribute to alpha generation strategies and work collaboratively with a team of highly successful quants.

Key Responsibilities:

  • Conduct alpha research for systematic global equities trading strategies.
  • Develop, test, and refine predictive models and signals for alpha generation.
  • Analyze large and complex datasets to generate trading signals.
  • Collaborate with portfolio managers, data scientists, and engineers to integrate research into production trading systems.
  • Stay at the forefront of quantitative finance, applying cutting-edge techniques and tools to enhance strategy performance.

Qualifications & Skills:

  • Proven experience in alpha generation for systematic trading, ideally within global equities.
  • PhD in a technical field (e.g., Mathematics, Statistics, Computer Science, Physics, or a related discipline) or equivalent research experience.
  • Strong programming skills, with proficiency in Python, R, or C++.
  • Expertise in data analysis, statistical modeling, and machine learning techniques.
  • Deep understanding of financial markets, particularly equities.
  • Ability to think creatively, solve complex problems, and communicate findings effectively.

What They Offer:

  • Competitive salary and performance-linked bonus.
  • Dynamic and intellectually stimulating work environment.
  • Opportunity to work with cutting-edge technology and access to vast data resources.
  • Career growth in a leading global hedge fund.

Reference: AMC/RSP/NW/JQR

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