Quantitative Trading Platform Developer
3 days ago
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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Quantitative Trading Platform Developer
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Quantitative Researcher Position
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