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Senior Quantitative Researcher – Monetization

Hong Kong; New York, New York, United States; Singapore
About the Role
We are a systematic trading firm operating across global equity and futures markets. As our strategy coverage expands, we are looking for a Quantitative Researcher to join our Monetization team — the group responsible for translating alpha research into live, scalable PnL across multiple markets and frequencies. This is a high-ownership role. You will work across the full stack from signal evaluation to execution design, and have direct impact on how the firm captures edge across markets.

location: Beijing, Shanghai, Hong Kong, Singapore

What You Will Do
  • Design and optimize monetization frameworks that bridge alpha signals and execution across multiple global markets
  • Build and maintain execution systems, portfolio optimization, and impact modeling components that are robust to different market microstructures
  • Develop and evaluate alpha signals across intraday to multi-day horizons, with a focus on maximizing realized PnL
  • Identify and prioritize new market opportunities; adapt existing frameworks to new geographies and asset classes
  • Monitor live strategies, investigate anomalies, and conduct post-trade analysis to diagnose performance and drive continuous improvement
  • Work with brokers and exchanges on connectivity, order routing, and venue-specific requirements to support strategy deployment and optimization
  • Collaborate closely with alpha researchers and engineers to ensure strategies are production-ready and continuously improving
What We Are Looking For
  • 5+ years of hands-on experience in a monetization, execution research, or systematic strategy role at a top-tier HFT or quantitative trading firm
  • Deep understanding of equity market microstructure across multiple exchanges — including order types, matching mechanics, venue-specific behavior, and how these differences shape execution decisions
  • Solid foundation in portfolio optimization, impact modeling, and execution cost analysis
  • Proficiency in C++ and/or Python; comfort with large-scale market data
Nice to Have
  • Direct experience with Asian equity markets (China, Korea, Taiwan, India, Japan)
  • Track record building strategies across multiple frequencies (intraday through multi-day)
  • Experience adapting a generalized strategy framework to a new market from scratch
  • Exposure to delta-one products including equity futures and ETFs
Education
  • Master’s degree or above in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field; PhD preferred

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