Senior Quantitative Researcher, Global Strategies

Citadel; Hong Kong; On-site; HKD 300,000 - 350,000; Full time

Benefits offered by this job

medical and life insurance

retirement and tax-free savings plans

access to other healthcare programs

Job summary

Citadel's Global Quantitative Strategies team in Hong Kong is seeking Quantitative Researchers to develop predictive models and scalable systems for multi-asset portfolios. You will work with researchers, engineers and traders to apply quantitative techniques to market opportunities.

Ideal candidates hold an advanced degree and have strong programming skills in C++ or Python, with a passion for financial markets and a drive to impact price formation and risk dynamics.

Qualifications

• Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or related field.
• Proven ability to conduct innovative and impactful research.
• Relentless focus on continuous learning and making an impact; ability to question the status quo.
• Strong mathematical and statistical modeling skills (time-series and cross-sectional analysis).
• Proficiency in coding (C++ or Python preferred).
• Demonstrated passion for financial markets and driven to analyze and model drivers of price formation and risk.

Responsibilities

• Develop predictive models and build robust quantitative systems.
• Drive portfolio construction and optimization for multi-asset strategies.
• Apply advanced statistical techniques to real-world market data.

Skills

Quantitative research

Cross-asset modeling

Statistical analysis

Portfolio optimization

Research communication

Education

Advanced degree in Physics, CS, Math, Stats, or related

Tools

C++

Python

Job description

Citadel's Global Quantitative Strategies team in Hong Kong is seeking Quantitative Researchers to develop predictive models and scalable systems for multi-asset portfolios. You will work with researchers, engineers and traders to apply quantitative techniques to market opportunities.

Ideal candidates hold an advanced degree and have strong programming skills in C++ or Python, with a passion for financial markets and a drive to impact price formation and risk dynamics.