Quantitative Researcher – Equities / Futures (APAC)
A researcher developing high-frequency delta-one strategies and predictive models for APAC equities and futures. It sits in the Hong Kong research team alongside traders and hardware and software developers.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Generate and test ideas for high-frequency alpha
- Engineer features from market microstructure and order book data
- Validate models rigorously against overfitting
- Work with developers to see research reach production
What they ask for
Required
- 3+ years in high-frequency equities or futures research or trading
- Track record of results
- Postgraduate-level study in ML, statistics or STEM
- Strong programming, Python preferred
- Practical experience with at least one ML approach
- Education
- Graduate and postgraduate study at a top university in ML, statistics or STEM
- Experience
- 3+ years as a quant researcher or trader in high-frequency equities or futures
- Languages and tools
- Markets
- equities, futures
How to prepare
- Study order book dynamics and build simple imbalance and flow features
- Learn APAC exchange structure for equities and index futures
- Practise ML on tick data with leak-free train and test splits
- Understand latency and how it limits which signals are tradable
What to study
- Market Microstructure and Execution
- Financial Machine Learning
- Quantitative Research, Data and Backtesting
- Probability, Statistics and Financial Data
The HFT Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on IMC Trading’s site before applying: requirements, location and pay can change after we check them.
View the posting on IMC Trading’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with IMC Trading and doesn’t handle applications.