Head of Quant Research

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 1,500,000 - 2,000,000; Full time

Job summary

Michael Page International (HK) Ltd is recruiting a newly created leadership role in Hong Kong to lead a 10-person Quant Research team focused on alpha generation, systematic trading strategies, and research innovation, partnering directly with the CIO and Founders.

You will mentor and develop the team, drive research lifecycle from idea through production, review models and backtests, and collaborate on portfolio construction and risk management to push returns.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Leadership

Python programming

Machine learning

Statistics

Quantitative research

Backtesting

Portfolio construction

Communication

Project management

English fluency

Education

Bachelor's degree in Quantitative Finance/Math/CS/Physics/Engineering

Tools

Backtesting frameworks

Production trading systems

Job description

Newly created leadership opportunity to lead a 10-person Quant Research team in Hong Kong, driving alpha generation, systematic trading strategy development, and research innovation while partnering directly with the CIO and Founders.

Client Details

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.

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.

Profile

• 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.

Job Offer

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.