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Senior Quantitative Researcher – Monetization
Metabit Technology LLC · Hong Kong; New York, New York, United States; Singapore
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Job description
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
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Design and optimize monetization frameworks that bridge alpha signals and execution across multiple global markets
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Build and maintain execution systems, portfolio optimization, and impact modeling components that are robust to different market microstructures
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Develop and evaluate alpha signals across intraday to multi-day horizons, with a focus on maximizing realized PnL
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Identify and prioritize new market opportunities; adapt existing frameworks to new geographies and asset classes
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Monitor live strategies, investigate anomalies, and conduct post-trade analysis to diagnose performance and drive continuous improvement
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Work with brokers and exchanges on connectivity, order routing, and venue-specific requirements to support strategy deployment and optimization
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Collaborate closely with alpha researchers and engineers to ensure strategies are production-ready and continuously improving
What We Are Looking For
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5+ years of hands-on experience in a monetization, execution research, or systematic strategy role at a top-tier HFT or quantitative trading firm
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Deep understanding of equity market microstructure across multiple exchanges — including order types, matching mechanics, venue-specific behavior, and how these differences shape execution decisions
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Solid foundation in portfolio optimization, impact modeling, and execution cost analysis
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Proficiency in C++ and/or Python; comfort with large-scale market data
Nice to Have
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Direct experience with Asian equity markets (China, Korea, Taiwan, India, Japan)
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Track record building strategies across multiple frequencies (intraday through multi-day)
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Experience adapting a generalized strategy framework to a new market from scratch
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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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