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Quantitative Researcher/Trader

2 months ago

London, Greater London, United Kingdom Quantitative Talent Ltd Full time
Senior Quantitative Researcher/Trader - Algorithmic Trading Specialist

Job Summary:

Quantitative Talent Ltd is seeking a highly skilled Senior Quantitative Researcher/Trader to join our team. As a key member of our trading team, you will be responsible for developing and executing high-frequency trading strategies, leveraging advanced quantitative techniques and data analysis.

Key Responsibilities:

  • Develop and implement high-frequency trading strategies, leveraging advanced quantitative techniques and data analysis
  • Conduct research and analysis to identify new trading opportunities and optimize existing strategies
  • Build and maintain trading models and algorithms, using programming languages such as C++, Python, or Java
  • Continuously monitor and evaluate trading performance and implement improvements as necessary
  • Collaborate with other traders and analysts to develop and refine trading strategies
  • Manage risk exposure and ensure compliance with relevant regulations and internal policies
  • Communicate trading ideas and strategies to other team members and senior management

Requirements:

  • Minimum of 10 years of experience as a Quantitative Researcher and/or Trader specializing in high-frequency trading strategies at a reputable trading firm
  • Strong knowledge of relevant markets and related products, including algorithmic trading, statistical arbitrage, and market microstructure
  • Proven track record of success in generating profits through high-frequency trading strategies
  • Excellent analytical and quantitative skills, with a strong understanding of advanced mathematical concepts and statistical analysis
  • Extensive programming skills in languages such as C++, Python, Java, and/or Rust
  • Ability to work effectively in a fast-paced and dynamic trading environment
  • Strong communication and interpersonal skills, with the ability to work collaboratively as part of a team
  • Bachelor's or Master's degree in a STEM field, such as mathematics, computer science, or finance;