Quant Research Associate

Michael Page International (Hong Kong) Limited; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Benefits offered by this job

Flexible remote-first

Direct exposure to live trading

Career growth in research

Competitive compensation

Job summary

Michael Page International (Hong Kong) Limited is recruiting a Quant Research Associate to join a growing research team focused on crypto and DeFi markets. The role involves developing, testing, and refining systematic strategies with senior researchers.

Ideal candidates hold a quantitative degree (Bachelor/Master/PhD) and have 2–3 years or more in quantitative research, trading, or ML research, with strong Python proficiency and data analysis skills.

Qualifications

• Bachelor's, Master's, or PhD in Mathematics, Statistics, Computer Science, Physics, Engineering, Quantitative Finance, Financial Engineering, or a related quantitative discipline
• Strong foundation in probability, statistics, optimization, and quantitative modeling
• Proficiency in Python and data analysis libraries
• Familiarity with quantitative research methodologies and scientific experimentation
• Strong analytical and problem-solving skills
• Ability to work independently in a research-oriented environment
• Good written and spoken English

Responsibilities

• Conduct quantitative research across crypto and DeFi markets
• Analyze large datasets and identify potential alpha opportunities
• Develop, test, and refine systematic trading strategies
• Design and evaluate research experiments
• Build and improve backtesting and simulation frameworks
• Research applications of machine learning and reinforcement learning in trading
• Perform statistical analysis on strategy performance and risk
• Collaborate with researchers, engineers, and business teams to translate research into production

Skills

Python

Statistics

Quantitative modeling

Analytical skills

Independent work

Education

Quantitative degree

Tools

PyTorch

Scikit-Learn

Job description

• A growing global quant research team
• Flexibility to work with global quant talents in a entrepreneurial environment

About Our Client

A digital asset and decentralized finance solutions provider that develops stable-value, yield-enhancing treasury products and investment infrastructure, enabling individuals and institutions to generate sustainable returns from on-chain assets through automated and risk-conscious strategies.

Job Description

Our client is seeking a Quant Research Associate to join their growing research team.

This role is suitable for:

• PhD students or recent PhD graduates seeking industry experience;
• Candidates with Master’s degrees and strong quantitative training;
• Professionals with 2-3 years of experience in quantitative research, quantitative trading, machine learning research, market microstructure research, or related fields.

You will work closely with senior researchers and founders to develop, test, and improve systematic strategies across crypto and DeFi markets.

Research areas include:

• Market making
• Delta-neutral strategies
• Portfolio construction and optimization
• Market microstructure analysis
• Reinforcement learning applications
• Quantitative signal research
• Backtesting and research infrastructure

Key Responsibilities

• Conduct quantitative research across crypto and DeFi markets
• Analyze large datasets and identify potential alpha opportunities
• Develop, test, and refine systematic trading strategies
• Design and evaluate research experiments
• Build and improve backtesting and simulation frameworks
• Research applications of machine learning and reinforcement learning in trading
• Perform statistical analysis on strategy performance and risk
• Collaborate with researchers, engineers, and business teams to translate research into production

The Successful Applicant

• Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Physics, Engineering, Quantitative Finance, Financial Engineering, or a related quantitative discipline
• Strong foundation in probability, statistics, optimization, and quantitative modeling
• Proficiency in Python and data analysis libraries
• Familiarity with quantitative research methodologies and scientific experimentation
• Strong analytical and problem-solving skills
• Ability to work independently in a research-oriented environment
• Good written and spoken English

Preferred Qualifications

• 2-3 years of experience in quantitative research, quantitative trading, data science, machine learning, or related analytical roles
• Experience at a hedge fund, quantitative trading firm, market maker, asset management firm, fintech, or research lab
• Experience with PyTorch, Scikit-Learn, or other machine learning frameworks
• Knowledge of market microstructure and trading systems
• Experience working with tick-level, order book, or transaction-level datasets
• Background in reinforcement learning or optimization techniques
• Interest in digital assets, crypto markets, and DeFi

What’s on Offer

• Opportunity to join a rapidly growing quantitative research team
• Direct exposure to live trading and production research environments
• Ownership and impact from an early stage of company growth
• Close collaboration with experienced founders and researchers
• Flexible remote-first working environment
• Clear pathway for career growth within the research organization
• Competitive compensation aligned with experience and performance