HFT Quant Developer

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

Location: Singapore / Hong Kong

Experience: Fresh Graduates / 0–3 Years

Meridian & Saturn Capital (MS Capital) is a quantitative investment management firm specializing in systematic trading strategies powered by advanced quantitative research, machine learning, and technology.

We are seeking a talented Junior HFT Developer (C++) to join our technology team. This role focuses on developing high-performance, low-latency trading systems and infrastructure supporting our quantitative and high-frequency trading strategies.

Key Responsibilities
  • Develop, optimize, and maintain high-performance trading systems using modern C++.
  • Build low-latency trading infrastructure, including market data processing, order management, and execution systems.
  • Optimize system performance, including CPU efficiency, memory management, concurrency, and network latency.
  • Collaborate with quantitative researchers and traders to implement and deploy trading strategies.
  • Develop tools for system monitoring, performance profiling, testing, and troubleshooting.
  • Support the continuous improvement of trading infrastructure, reliability, and scalability.
Requirements
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a closely related discipline.
  • Strong programming skills in C++, with solid knowledge of data structures, algorithms, and object-oriented programming.
  • Good understanding of operating systems, computer architecture, memory management, and multithreading.
  • Strong analytical and problem-solving abilities, with attention to code quality and performance.
  • Interest in high-performance computing, low-latency systems, and quantitative trading.
  • Fresh graduates are welcome to apply. Prior experience in finance or trading is not required.
Preferred Qualifications
  • Strong background in competitive programming, with participation or achievements in recognized coding competitions such as ICPC, IOI, Codeforces, AtCoder, or similar contests.
  • Demonstrated excellence in algorithmic problem-solving, data structures, and computational efficiency.
  • High rankings, awards, or notable achievements in national or international programming competitions are highly advantageous.
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