HFT Futures Quant Trader

Selby Jennings
London
7 months ago
Applications closed

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Senior Machine Learning Engineer

A high frequency trading firm based in London is looking for a HFT futures trader with 1-5 years of experience.

The firm have a world class technology and infrastructure setup, and have a collaborative environment within the team. The team is headed by an individual who has had 9 years of experience across multiple tier-1 proprietary trading firms.


The compensation provided is market competitive and for the right candidate, formulaic.

Responsibilities:

  • Develop and implement high-frequency trading strategies for futures markets, utilising advanced quantitative techniques, statistical models, and machine learning algorithms.
  • Collaborate closely with our technology team to design and optimise proprietary trading systems and algorithms for speed, efficiency, and reliability.
  • Conduct extensive research and data analysis to identify market patterns, trading signals, and pricing inefficiencies for alpha generation.
  • Monitor and manage trading positions in real-time, ensuring optimal execution and risk management in rapidly changing market conditions.
  • Participate in the development and enhancement of trading infrastructure, data feeds, and connectivity to exchanges and trading platforms.

Requirements:

  • Master's or Ph.D. degree in a quantitative field such as Finance, Mathematics, Computer Science, Statistics, or related disciplines.
  • Proven experience as a High-Frequency Futures Quantitative Trader, with a strong track record of success in designing and executing trading strategies in fast-paced markets.
  • Proficiency in programming languages such as Python, C++, or Java for data analysis, model development, and building automated trading systems.
  • Sound understanding of futures markets, market micro-structure, and trading technologies.
  • Experience with low-latency trading systems, direct market access, and trading infrastructure optimisation is highly desirable.

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