Head of Quant Research

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 1,200,000 - 2,400,000; Full time

Job summary

Michael Page International (HK) Ltd in Hong Kong seeks a leader to guide a 10-person quant research and trading team. You will mentor, hire, and drive alpha generation and systematic strategies across global markets.

You will oversee the full research lifecycle from idea generation to production deployment, reviewing models and backtests to ensure robustness. Fluent English is required; Cantonese/Mandarin is a plus.

Qualifications

• Bachelor's degree or above in a quantitative discipline.
• Proven track record in quantitative research or alpha generation.
• Independent idea generation and profitability of trading ideas.
• Strong modeling, ML, portfolio construction, and risk management.
• Advanced Python, backtesting frameworks, and production trading systems.
• Experience leading and developing quant researchers.

Responsibilities

• Lead, mentor, and develop a team of ~10 quantitative coding and trading team members.
• Drive generation, evaluation, and implementation of alpha signals and systematic strategies.
• Oversee the full research lifecycle from idea generation to production deployment.
• Review and challenge models, backtests, and code quality for robustness.
• Contribute to research and coding initiatives when required.
• Refine and enhance trading strategies to improve risk-adjusted returns.
• Set research priorities, allocate resources, manage multiple projects.
• Collaborate with CIO and Founders on portfolio construction and risk decisions.
• Lead recruitment and build a world-class quant research organization.

Skills

Leadership

Python

Machine Learning

Backtesting

Portfolio construction

Team management

Communication

English

Cantonese/Mandarin

Education

Bachelor's degree in Quantitative Finance

Tools

Python

PyTorch

Scikit-learn

Job description

• Lead, mentor, and develop a team of approximately 10 quantitative coding and trading team members
• Drive the generation, evaluation, and implementation of alpha signals and systematic trading strategies.
• Oversee the full research lifecycle, including idea generation, data analysis, model development, backtesting, and production deployment.
• Review and challenge quantitative models, research methodologies, backtest results, and code quality to ensure robustness and scalability.
• Contribute directly to research and coding initiatives when required.
• Continuously refine and enhance existing trading strategies to improve risk-adjusted returns.
• Establish research priorities, allocate resources effectively, and manage multiple projects simultaneously.
• Partner closely with the CIO and Founders on portfolio construction, capital allocation, and risk management decisions.
• Drive recruitment efforts and help build a world-class quantitative research organization.
• Foster a high-performance research culture focused on innovation, collaboration, and continuous improvement.

• Lead, mentor, and develop a team of approximately 10 quantitative coding and trading team members
• Drive the generation, evaluation, and implementation of alpha signals and systematic trading strategies.
• Oversee the full research lifecycle, including idea generation, data analysis, model development, backtesting, and production deployment.
• Review and challenge quantitative models, research methodologies, backtest results, and code quality to ensure robustness and scalability.
• Contribute directly to research and coding initiatives when required.
• Continuously refine and enhance existing trading strategies to improve risk-adjusted returns.
• Establish research priorities, allocate resources effectively, and manage multiple projects simultaneously.
• Partner closely with the CIO and Founders on portfolio construction, capital allocation, and risk management decisions.
• Drive recruitment efforts and help build a world-class quantitative research organization.
• Foster a high-performance research culture focused on innovation, collaboration, and continuous improvement.

A reputable quant trading platform in Hong Kong Steadily growing business

• Bachelor's degree or above in Quantitative Finance, Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative discipline.
• Proven track record in quantitative research, systematic investing, algorithmic trading, or alpha generation within a buy-side institution, hedge fund, proprietary trading firm, or quantitative asset manager.
• Demonstrated ability to independently generate alpha ideas and transform research concepts into profitable trading strategies.
• Strong understanding of statistical modeling, machine learning techniques, portfolio construction, and risk management.
• Advanced Python programming skills with experience in research infrastructure, backtesting frameworks, and production trading systems.
• Prior experience managing and developing quantitative researchers and research teams.
• Strong leadership, project management, and communication skills.
• Fluent English is required.
• Cantonese and/or Mandarin proficiency would be advantageous.
• Prior experience in cryptocurrency, digital assets, or alternative asset trading is highly preferred.

Our client is a technology-driven quantitative investment firm specializing in systematic and algorithmic trading across global financial markets. The firm combines advanced quantitative research, artificial intelligence, machine learning, and proprietary trading technology to identify and capture investment opportunities through data-driven strategies. With a strong focus on innovation and research excellence, the company continues to invest in expanding its quantitative research capabilities, trading infrastructure, and talent base to support its long-term growth ambitions.

This is a rare opportunity to lead a 10-person quant research team, work directly alongside the CIO and Founders, drive alpha generation across systematic strategies, and play a key role in shaping the future growth of a fast-growing quantitative investment platform.

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