Quantitative Trading Platform Developer

3 days ago


London, Greater London, United Kingdom Stanford Black Limited Full time
Real-Time Market Data Engineer at Stanford Black Limited

We are seeking a highly skilled Real-Time Market Data Engineer to join our team at Stanford Black Limited.

About the Role:

  • We need someone with extensive experience in designing and implementing real-time, low-latency systems using modern C++.
  • The ideal candidate will have a proven track record of developing and optimising systems for market data processing and distribution globally.
  • Collaboration with trading teams and infrastructure experts is crucial to enhance performance and reliability.

Key Responsibilities:

  • Design and implement real-time, low-latency systems using modern C++.
  • Develop and optimise systems for market data processing and distribution globally.
  • Collaborate with trading teams and infrastructure experts to enhance performance and reliability.

Requirements:

  • A minimum of 5 years of experience with C++, including modern features (C++17/20).
  • Proven experience in low-latency systems and real-time market data.
  • A strong understanding of trading venue protocols, Linux internals, and network optimisation is required.

Benefits:

  • A competitive salary range of $180,000 - $250,000 per annum, depending on experience.
  • A unique opportunity to work on challenging engineering problems in quantitative trading.
  • A chance to collaborate with a talented team of professionals in the industry.


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