Quantitative Trader/researcher - London, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description

They are seeking an experienced Fixed Income Quant Researcher to support a Semi-Systematic PM with a view to the role progressing to a SubPM role and managing risk.


Responsibilities:


  • To deliver high quality strategies in production.
  • Monitor continuous trading, strategy performance and all relevant risks.
  • Implement signals and relevant datasets within the global execution platform.
  • Leverage your trading and market expertise by sharing production results, methodology, data sets and processes with other traders and researchers.
  • Monitor signal behaviour and performance of execution platform over time.
  • You would lead the full strategy trading cycle from risk calibration to trade executions.

Requirements:


  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
  • 3+years of relevant experience.
  • Strong knowledge of US interest rates instruments.
  • Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
  • Programming skills is required (SQL or any database related programming language).
  • Experience in exploring large datasets across multiple time frames is a plus.
  • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
  • Capacity to work with autonomy within a collegial and collaborative environment.
  • Trading expertise and market knowledge which can be leveraged in the systematic space.

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