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Quant Investment Strategist – London

eFinancialCareers · London

Mid 🇬🇧 English
Python Bloomberg Derivatives Data analysis Statistics/econometrics Trade execution

Job description

About the role

This full‑time position offers a unique opportunity to join a close‑knit quantitative investment team in London. You will work on derivative overlays, portfolio management and trading activities, applying strong data‑analysis and statistical expertise to systematic investment strategies.

Key responsibilities

  • Develop and manage quantitative investment strategies that incorporate derivatives.
  • Oversee derivative overlay implementation and related trading execution.
  • Collaborate with portfolio managers and traders across multiple asset classes.
  • Analyse large data sets to support model development and risk assessment.
  • Communicate with brokers and bank sales to facilitate trade execution.

Required profile

  • Master’s degree or higher from a tier‑1 university in econometrics, statistics, applied mathematics or a related field.
  • At least two years of experience working with derivatives in trading, portfolio management, or risk.
  • Proven experience in data analysis, statistical modelling and systematic investment strategies.
  • Strong communication skills for liaising with external partners.

Required skills

  • Python programming.
  • Bloomberg terminal usage.
  • Derivatives knowledge.
  • Data analysis.
  • Statistics/econometrics.
  • Trade execution.

Questions fréquentes

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Published 2 months ago

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eFinancialCareers

London