Quantitative Researcher (Machine Learning)

Location: Hong Kong; location is flexible for the right candidate, with Hong Kong or New York preferred. Hybrid working opportunities are available.

Company

Quantitative trading firm building systematic trading strategies and high-performance electronic trading infrastructure for global markets.

What you will do

• Analyze large datasets from diverse sources to form and test hypotheses about market behavior.
• Research and build statistical models for financial instrument valuation and returns.
• Formalize and implement trading strategies and algorithms by solving optimization problems.
• Build robust, scalable quantitative research methods, tools, and platforms across the full research pipeline.
• Support data extraction and analysis, model calibration, deployment, and reporting.

Requirements

• Research-oriented master's degree or ideally a PhD in mathematics, machine learning, computer science, physics, or a similar quantitative field.
• Strong quantitative research experience in systematic trading, covering idea generation, research, deployment, and production analysis.
• Track record of delivering impactful results in quantitative research.
• Strong programming skills and experience building high-quality, scalable software in Python or C++, ideally both.
• Ability to communicate clearly and effectively at both high-level and detailed technical levels.

Culture & Benefits

• Collaborative, welcoming, and results-oriented environment with minimal hierarchy and no unnecessary ego.
• Generous paid time off policies.
• Savings plans and financial wellness tools available by region.
• Free breakfast, lunch, and snacks in the office.
• Wellness experiences, selected wellness expense reimbursements, sports teams, and fitness events.
• Volunteer opportunities, charitable giving, social events, and continuous learning workshops.