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Quantitative Analyst – Mid‑Frequency Trading (London)

eFinancialCareers · London

🇬🇧 English
Python C++

Job description

About the role

We are a global, technology‑driven trading firm focused on digital asset markets. As a Quantitative Analyst you will develop and deploy mid‑frequency systematic strategies across traditional and digital asset markets, working closely with trading and engineering teams.

Key responsibilities

  • Design, implement and optimise mid‑frequency trading strategies (seconds to multi‑day horizons).
  • Build predictive models to capture market inefficiencies in digital assets.
  • Analyse high‑frequency and tick‑level data to uncover alpha signals and micro‑structure patterns.
  • Conduct rigorous back‑testing, simulation and performance optimisation.
  • Collaborate with engineering to improve execution, connectivity and system performance.
  • Scale and iterate strategies across multiple electronic venues.

Required profile

  • Proven experience developing systematic trading strategies with demonstrable performance.
  • Strong academic background in Mathematics, Statistics, Computer Science, Engineering or related field.
  • Interest in applying quantitative techniques to digital asset markets.
  • Collaborative mindset and strong problem‑solving abilities.

Required skills

  • Python programming.
  • C++ (or other low‑level language) – a plus.
  • Statistical modelling, time‑series analysis and market microstructure knowledge.
  • Familiarity with exchange connectivity, APIs and electronic trading systems.

What we offer

  • Opportunity to work in a high‑growth segment of global markets.
  • Direct impact on trading performance and strategy development.
  • Collaborative, technology‑focused environment.

Questions fréquentes

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eFinancialCareers

London