Experienced MFT Quantitative Researcher

Flow Traders; Hong Kong; On-site; HKD 1,200,000 - 2,000,000; Full time

Job summary

Flow Traders, a leading proprietary trading firm, seeks an Experienced Quantitative Researcher in Hong Kong. The role focuses on mid-frequency research to identify intraday to few-day alpha signals using advanced research capabilities.

You will leverage ML and high-performance computing to develop scalable models, collaborating with researchers, engineers, and traders to translate research into production-ready strategies.

Qualifications

• Master’s degree in STEM or related field; PhD preferred.
• 3+ years of quantitative trading experience.
• Proven track record of profitable mid-frequency trading strategies in APAC equities and/or futures.
• Strong grounding in time-series modeling, signal research, and portfolio construction for short holding periods.
• Understanding of market microstructure and mid-frequency signals from order book and tick data.
• Experience translating quantitative methods into profitable trading strategies.
• Excellent communication and stakeholder management across trading and technology.
• Strategic vision for ML/AI in systematic trading.

Responsibilities

• Research and develop intraday to few-day alpha signals and systematic strategies.
• Apply ML and HPC to develop scalable quantitative trading models.
• Collaborate with researchers, engineers, and traders to productionize strategies.
• Contribute to methodology, tooling, and best practices across the team.

Skills

Time-series modeling

Signal research

Portfolio construction

Market microstructure

ML/AI awareness

Stakeholder management

Mid-frequency trading

Trading experience

Education

Master’s degree in STEM

PhD preferred

Job description

Flow Traders is looking for an Experienced Quantitative Researcher who specializes in mid-frequency research to join us in our 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 our business.

In this role, you will identify and develop new trading opportunities by leveraging Flow Traders’ advanced research capabilities and quantitative trading platform.

What will you do

• 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

What you need to succeed

• 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

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.