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Experienced MFT Quantitative Researcher

Flow Traders
🇭🇰Hong KongSeniorFull-timePosted September 22, 2026

About the Role

Flow Traders is looking for an Experienced Quantitative Researcher who specializes in mid-frequency research to join the Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm where quantitative research, technology, and an entrepreneurial culture are at the heart of the business.

  • Research and develop intraday to few-day quantitative alpha signals, and systematic trading strategies
  • Apply modern computational techniques, including machine learning and high-performance computing, to develop scalable and effective quantitative trading models
  • Collaborate with researchers, engineers, and traders to translate models into production-ready strategies
  • Contribute to research methodology, tooling, and best practices across the global quantitative research team

Responsibilities

  • Research and develop intraday to few-day quantitative alpha signals, and systematic trading strategies
  • Apply modern computational techniques, including machine learning and high-performance computing, to develop scalable and effective quantitative trading models
  • Collaborate with researchers, engineers, and traders to translate models into production-ready strategies
  • Contribute to research methodology, tooling, and best practices across the global quantitative research team

Requirements

  • A master's degree in a STEM discipline, computer science, or a related quantitative field; a PhD is preferred
  • 3+ years of experience in quantitative trading
  • A proven track record of profitable mid-frequency trading strategies, operating on intraday to few-day horizons, in APAC equities and/or futures markets
  • Strong grounding in time-series modeling, signal research, and portfolio construction across short holding periods
  • Understanding of market microstructure and the construction of mid-frequency signals from order book and tick data
  • Demonstrated success translating modern quantitative methods into profitable trading strategies
  • Excellent communication skills and experience managing stakeholders across trading and technology
  • A strategic vision for the role of machine learning and AI in the future of systematic trading