Quantitative Portfolio Manager / Statistical Arbitrage Team Lead

ADECCO Personnel Limited; Hong Kong; On-site; HKD 2,353,000 - 5,098,000; Full time

Job summary

ADECCO Personnel Limited is seeking a senior quantitative researcher and trader to lead the research, development, and deployment of statistical arbitrage strategies across crypto and equity markets. You will manage an independent trading book with initial capital of USD 2 million, and scale based on performance.

You will build and mentor a team, develop systematic research frameworks, and work closely with risk management to ensure governance and robust controls while driving live trading and

Qualifications

• Proven experience within a leading quantitative hedge fund, proprietary trading firm, or systematic investment platform.
• Demonstrated track record managing live investment capital independently, with capital of at least USD 2 million.
• Strong expertise in statistical arbitrage, market-neutral, or quantitative long/short strategies.
• Experience trading live crypto or equity strategies with real capital deployment.
• Proven leadership experience, including building, managing, and developing quantitative research or trading teams.
• Strong quantitative background in mathematics, statistics, probability, machine learning, or related disciplines.
• Advanced programming skills in Python and/or C++, with hands-on research and strategy development.
• Deep understanding of portfolio construction, risk management, and execution optimization.

Responsibilities

• Lead research, development, deployment, and ongoing enhancement of statistical arbitrage strategies.
• Manage an independent trading book and risk allocation, with initial capital deployment starting from USD 2 million and scalable based on performance.
• Oversee portfolio construction, risk management, capacity planning, and execution efficiency.
• Monitor and optimize trading costs, including turnover, market impact, borrowing expenses, and funding rates.
• Build, mentor, and lead a team of quantitative researchers and traders.
• Develop systematic research frameworks and repeatable investment processes.
• Work closely with risk management teams to ensure appropriate controls and governance are maintained.
• Drive live trading operations and execution optimization across cryptocurrency and/or equity markets.

Skills

Leadership

Quantitative research

Python

C++

Statistics

Machine learning

Risk management

Portfolio construction

Tools

Python

C++

Job description

Our client is a fast-growing quantitative investment platform focused on digital assets and systematic trading.

Key Responsibilities

Lead the research, development, deployment, and ongoing enhancement of statistical arbitrage strategies.

Manage an independent trading book and risk allocation, with initial capital deployment starting from USD 2 million and scalable based on performance.

Oversee portfolio construction, risk management, capacity planning, and execution efficiency.

Monitor and optimize trading costs, including turnover, market impact, borrowing expenses, and funding rates.

Build, mentor, and lead a team of quantitative researchers and traders.

Develop systematic research frameworks and repeatable investment processes.

Work closely with risk management teams to ensure appropriate controls and governance are maintained.

Drive live trading operations and execution optimization across cryptocurrency and/or equity markets.

Statistical Arbitrage & Relative Value

Cross-sectional mean reversion strategies

Pairs trading and basket trading

Cointegration and residual-based trading

Cross-asset and cross-instrument relative value opportunities

Factor Investing & Market Neutral Strategies

Factor-based alpha generation

Beta-neutral and sector-neutral portfolio construction

Portfolio optimization and risk budgeting

Capacity and liquidity management

Execution strategy enhancement

Trading cost analysis and optimization

Requirements

Proven experience within a leading quantitative hedge fund, proprietary trading firm, or systematic investment platform.

Demonstrated track record managing live investment capital independently, with experience overseeing portfolios of at least USD 2 million.

Strong expertise in statistical arbitrage, market-neutral, or quantitative long/short strategies.

Experience trading live crypto or equity strategies with real capital deployment.

Proven leadership experience, including building, managing, and developing quantitative research or trading teams.

Strong quantitative background in mathematics, statistics, probability, machine learning, or related disciplines.

Advanced programming skills in Python and/or C++, with the ability to conduct hands-on research and strategy development.

Deep understanding of portfolio construction, risk management, and execution optimization.