Senior Quantitative Researcher – Monetization

Metabit Technology LLC; Hong Kong; On-site; HKD 1,000,000 - 2,000,000; Full time

Job summary

Metabit Technology LLC is seeking a Senior Quantitative Researcher for the Monetization team in Hong Kong. You will translate alpha research into scalable PnL across global markets and frequencies, owning the end-to-end monetization stack from signal evaluation to execution design.

The role demands 5+ years in monetization or execution research, deep knowledge of equity microstructure, and strong skills in C++/Python with large-scale data. You will shape live strategies and drive edge capture.

Qualifications

• 5+ years of hands-on monetization or execution research experience.
• Deep understanding of equity market microstructure across exchanges.
• Strong portfolio optimization and execution cost analysis.
• Proficiency in C++ and/or Python; comfortable with large-scale market data.

Responsibilities

• Design and implement monetization frameworks linking alpha signals to live PnL across markets.
• Build and maintain execution systems, portfolio optimization, and impact modeling components.
• Develop and evaluate alpha signals across intraday to multi-day horizons to maximize realized PnL.
• Identify market opportunities and adapt frameworks to new geographies and asset classes.
• Monitor live strategies, investigate anomalies, and perform post-trade analysis to drive improvements.
• Collaborate with brokers/exchanges on connectivity and routing for deployment.

Skills

C++

Python

Market data

Quant research

Execution modeling

Education

Master's degree or higher

PhD preferred

Job description

Senior Quantitative Researcher – Monetization

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.

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