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High to Mid-Frequency Trading Signal Quant

eFinancialCareers · London

🇬🇧 English
Python Rust Concurrency Linux/Unix AWS Git Docker

Job description

About the role

We are seeking a Quantitative Researcher to develop systematic trading strategies and high‑to‑mid‑frequency trading signals. The role is based in London and offers the opportunity to work on cutting‑edge quantitative projects.

Key responsibilities

  • Design and implement systematic trading strategies.
  • Develop high‑to‑mid‑frequency trading signals.
  • Analyse large empirical data sets to generate actionable insights.
  • Collaborate with a multidisciplinary team to translate research into production‑ready models.

Required profile

  • Master’s or PhD in mathematics, statistics, physics, computer science or a related field.
  • Strong research background with experience applying sophisticated mathematical tools.
  • Entrepreneurial mindset and ability to tackle complex problems.
  • Willingness to live in or relocate to London.

Required skills

  • Programming in Python or Rust.
  • Experience with concurrency and object‑oriented programming.
  • Proficiency with Linux/Unix environments.
  • Familiarity with cloud services (AWS), version control (Git) and containerisation (Docker).

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Published 2 months ago

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eFinancialCareers

London