Junior HFT C++ Engineer – Low-Latency Trading Systems

MS Capital Singapore

Hong Kong

Presencial

HKD 549.000 - 941.000

Tempo integral

Há 5 dias
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Resumo da vaga

Meridian & Saturn Capital (MS Capital) is looking for a talented Junior HFT Developer (C++) to join our technology team in Singapore/Hong Kong. You will help build high-performance, low-latency trading systems and infrastructure powering our quantitative trading strategies.

Fresh graduates are welcome to apply. You will collaborate with quantitative researchers and traders to optimize performance, memory usage, concurrency, and network latency while delivering robust monitoring and tooling.

Qualificações

  • Bachelor's or master's degree in Computer Science, Computer Engineering or related field.
  • Strong programming skills in C++, with knowledge of data structures and algorithms.
  • Understanding of operating systems, memory management and multithreading.

Responsabilidades

  • Develop, optimize, and maintain high-performance trading systems in C++.
  • Build low-latency trading infrastructure for data processing, order management, and execution.
  • Improve CPU efficiency, memory usage, concurrency, and network latency.
  • Collaborate with researchers and traders to deploy trading strategies.
  • Develop monitoring, profiling, testing, and troubleshooting tools.
  • Support reliability and scalability improvements for trading infrastructure.

Conhecimentos

C++ programming
Data structures
Algorithms
Multithreading
Low-latency

Formação

Bachelor's or Master's in CS/CE

Descrição da vaga

Meridian & Saturn Capital (MS Capital) is looking for a talented Junior HFT Developer (C++) to join our technology team in Singapore/Hong Kong. You will help build high-performance, low-latency trading systems and infrastructure powering our quantitative trading strategies.

Fresh graduates are welcome to apply. You will collaborate with quantitative researchers and traders to optimize performance, memory usage, concurrency, and network latency while delivering robust monitoring and tooling.

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