Quantitative Researcher – Machine Learning & Systematic Trading

Westbury Partners; Hong Kong; Hybrid; HKD 1,200,000 - 2,000,000; Full time

Job summary

Westbury Partners seeks a Quantitative Researcher focused on Machine Learning and Systematic Trading. You will uncover market patterns, develop predictive models, and collaborate with traders and tech teams in a Linux environment.

You will apply statistical methods, ML techniques, and data mining to financial data, test trading hypotheses, and help translate research into executable strategies for electronic trading.

Qualifications

• Master's or PhD in Statistics, Physics, Mathematics or a related quantitative discipline.
• Proven experience developing statistical models in a trading environment.
• Strong C++ programming skills within a Linux environment.
• Experience working with large datasets.
• Familiarity with forecasting, data mining, and statistical modelling techniques.
• Strong written and verbal English communication skills.

Responsibilities

• Collect, clean, analyze, and interpret large financial datasets.
• Develop statistical models within a trading environment.
• Apply forecasting and data-mining techniques including linear and non-linear regression, neural networks, and SVMs.
• Create and refine profitable predictive trading models.
• Evaluate strategy performance and identify optimization opportunities.
• Translate research into practical trading applications with tech and business teams.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

C++

Python

R

Matlab

Linux

Education

Master's or PhD in Statistics/Physics/Mathematics

Tools

Linux

Job description

Quantitative Researcher – Machine Learning & Systematic Trading

Uncover market patterns through advanced statistical research, machine learning, and data analysis, developing predictive trading models and strategies while collaborating with traders and technology specialists.

What You'll Do:

• Analyze global financial markets and large datasets to uncover meaningful patterns.
• Develop predictive models and systematic trading strategies.
• Apply statistical analysis, data mining, and machine learning techniques to financial data.
• Research and test new trading hypotheses using rigorous quantitative methods.
• Collaborate closely with trading teams to optimize strategies and improve performance.
• Contribute to sophisticated electronic trading strategies through innovative research.
• Develop research tools and supporting software in a Linux environment.
• Continuously investigate new approaches to advance quantitative and machine learning techniques.

Your Responsibilities Will Include:

• Collecting, cleaning, analyzing, and interpreting large financial datasets.
• Developing statistical models within a trading environment.
• Applying forecasting and data-mining techniques including linear and non-linear regression, neural networks, and support vector machines.
• Creating and refining profitable predictive trading models.
• Evaluating strategy performance and identifying opportunities for optimization.
• Programming research solutions usingC++ , alongside Python, R, or Matlab.
• Working with technology and business teams to translate research into practical trading applications.
• Communicating research findings and insights clearly to technical and non-technical stakeholders.

Why Join Us:

• Work at the intersection ofquantitative research, machine learning, and electronic trading .
• Tackle challenging problems involving complex markets and massive datasets.
• See your research directly influence trading strategies and measurable performance.
• Collaborate with talented researchers, traders, technologists, and business specialists.
• Explore advanced statistical and machine learning techniques in a real-world trading environment.
• Have the opportunity to push the boundaries of how machine learning is applied to financial markets.

About You:

• Master's or PhD inStatistics, Physics, Mathematics , or a related quantitative discipline.
• Proven experience developing statistical models in a trading environment.
• Demonstrated success developing profitable trading strategies.
• Strong C++ programming skills within a Linux environment.
• Strong knowledge of forecasting, data mining, and statistical modelling techniques.
• Experience working with large datasets.
• Familiarity with Python, R, or Matlab and supporting development skills.
• Strong analytical and creative problem-solving abilities.
• Self-motivated, proactive, and comfortable conducting independent research.
• Strong written and verbal English communication skills.
• Collaborative mindset with a genuine interest in advancing machine learning within trading.

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