Quantitative Researcher / Data Scientist Volatility & Options | Global Hedge Fund | Hong Kong

We are working with a leading global multi-strategy hedge fund seeking Quantitative Researchers and Data Scientists to join its central Volatility Alpha Development team in Hong Kong.

This team supports global volatility trading strategies, combining quantitative research, statistical modelling, machine learning and systematic options research to develop alpha-generating signals and trading frameworks.

The Opportunity

1. Develop quantitative models, predictive signals and systematic options strategies across global markets.
2. Research volatility surfaces, event-driven volatility, options pricing and single-stock versus index spreads.
3. Build and enhance backtesting frameworks, time-series models and systematic options datasets.
4. Apply machine learning, statistical modelling and alternative data to identify trading opportunities.
5. Collaborate directly with senior portfolio managers on alpha research, strategy development and risk management.

Requirements

1. 3+ years of experience in quantitative research, data science or investment management.
2. Strong Python programming skills ; C++ or Go experience is advantageous.
3. Experience in statistical modelling, machine learning, time-series analysis and backtesting.
4. Good understanding of options, derivatives and volatility markets.
5. Master's or PhD in Mathematics, Statistics, Computer Science, Physics, Engineering or a related quantitative discipline.

Why Consider This Opportunity?

1. Join a central quantitative research team supporting a global volatility trading business.
2. Work on research with direct applications to investment strategies and portfolio management.
3. Opportunity for candidates with either a stronger Data Science / Machine Learning background or deeper Quantitative Research / Volatility Modelling expertise.
4. High-impact role offering close collaboration with experienced quantitative researchers and portfolio managers.

Location: Hong Kong

If you have a strong background in Python, quantitative modelling or data science, and an interest in volatility trading, we would be keen to hear from you.

Apply directly or reach out for a confidential discussion.