Quantitative Researcher

佳期投资 (JQ Investments); Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

佳期投资 (JQ Investments) seeks a Quantitative Researcher to derive statistical insights for profitable trading strategies in a fast-paced environment. You will work with a flexible toolbox to uncover market signals from complex data and apply robust models for pricing and return prediction.

The ideal candidate is highly analytical, innovative, and comfortable with both exploratory work and time-sensitive projects across quantitative methods and risk management.

Qualifications

• Bachelor's, Master's, or PhD degree in Statistics, Physics, Mathematics, or other quantitative field
• Fluency in Python for data analysis
• Knowledge of statistical and machine-learning methods
• Strong applied research and analysis skills

Responsibilities

• Analyze complex data sets to uncover market signals
• Develop, test, and implement models relating to pricing and return prediction
• Research statistical methodologies to enhance strategy performance and manage risk

Skills

Analytical mindset

Applied research

Data analysis

Statistical methods

Education

Bachelor's/Master's/PhD in Statistics/Physics/Mathematics (or quantitative field)

Tools

Python

Job description

Quantitative Researchers generate the statistical insights that drive the profitability of our trading strategies. They employ a flexible and ever-expanding toolset to distill robust relationships and incorporate these insights into both existing and novel strategies. The ideal candidate is highly analytical, innovative, and thrives both in open-ended exploration and with specific, time-sensitive projects.

Major responsibilities include the analysis of complex data sets to uncover market signals; the development, testing, and implementation of models relating to pricing and return prediction; and research into statistical methodologies to enhance strategy performance and manage risk.

Job requirements:

• Bachelor's, Master's, or PhD degree in Statistics, Physics, Mathematics, or other quantitative field
• Fluency in Python for data analysis
• Knowledge of statistical and machine-learning methods
• Strong applied research and analysis skills