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Quantitative Developer - Algorithmic Trading System

Salary undisclosed

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MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.

You will be joining MS Capital's technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service.

Roles & Responsibilities:

  • Understand the trading system design, responsible for trading system interface development, maintenance and related application requirements
  • Designing, building and maintaining an efficient research pipeline and tools for data processing, strategy simulation and alpha generation
  • Develop and continuously optimizing trading system, including network programming, database, high performance computing optimization, etc.

Qualifications:

  • Bachelor's degree or above in Computer Science, Engineering.
  • Proficient in software development using C++ and other high level programming languages.
  • Experience of working with large data sets and live data streaming
  • Self-driven with strong analytical abilities to solve real-time challenges.
  • Preferred to have 2~5 years of experience in FinTech industry, especially for development of low-latency high frequency trading system.

MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.

You will be joining MS Capital's technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service.

Roles & Responsibilities:

  • Understand the trading system design, responsible for trading system interface development, maintenance and related application requirements
  • Designing, building and maintaining an efficient research pipeline and tools for data processing, strategy simulation and alpha generation
  • Develop and continuously optimizing trading system, including network programming, database, high performance computing optimization, etc.

Qualifications:

  • Bachelor's degree or above in Computer Science, Engineering.
  • Proficient in software development using C++ and other high level programming languages.
  • Experience of working with large data sets and live data streaming
  • Self-driven with strong analytical abilities to solve real-time challenges.
  • Preferred to have 2~5 years of experience in FinTech industry, especially for development of low-latency high frequency trading system.