Alpha Research Scientist: Systematic Trading & ML

Expedition Funds; Hong Kong; On-site; HKD 1,000,000 - 1,400,000; Full time

Job summary

Expedition Funds seeks a PhD-level researcher to advance systematic trading ideas across global markets. You will design and backtest experiments, craft ML/DL models for alpha discovery, and own projects from hypothesis to production.

Collaborate with researchers, traders, and engineers to translate insights into robust, executable trading strategies while addressing data leakage, non-stationarity, and costs.

Qualifications

• PhD or exceptional Master's in highly quantitative disciplines.
• Outstanding academic record from a top-tier university.
• Strong foundations in probability, statistics, optimization, and linear algebra.
• Strong machine learning fundamentals with ability to conduct independent research.
• Exceptional Python and C++ programming skills with solid data structures.
• Proven alpha research results or top-tier publications.
• Ability to work independently on open-ended problems and translate ideas into measurable results.
• Prior experience in quantitative finance or market microstructure is highly preferred.

Responsibilities

• Conduct independent research on systematic trading strategies across global markets.
• Design experiments and backtests addressing overfitting and data leakage.
• Develop ML/DL models for alpha discovery and prediction.
• Take end-to-end ownership from hypothesis to strategy implementation.
• Collaborate with researchers, traders, and engineers to translate research into production strategies.

Skills

Python

C++

Machine learning

Statistics

Probability

Optimization

Linear algebra

Independent research

Open-ended problems

Education

PhD or exceptional Master's in quantitative fields

Job description

Expedition Funds seeks a PhD-level researcher to advance systematic trading ideas across global markets. You will design and backtest experiments, craft ML/DL models for alpha discovery, and own projects from hypothesis to production.

Collaborate with researchers, traders, and engineers to translate insights into robust, executable trading strategies while addressing data leakage, non-stationarity, and costs.