Quant jobs / Millennium

Quantitative Researcher – Quantitative Strategies

A researcher role developing systematic equity strategies for Asian markets in a collaborative team. It values hands-on desk or trading experience with local market rules.

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.

Research alpha signals in China, Japan, Hong Kong and Taiwan equities
Build and test strategies that respect each venue's rules and conventions
Clean and combine datasets, then engineer features
Carry out market-specific analysis and deploy strategies across venues

What they ask for

Required

Expert Python
Pandas, NumPy, scikit-learn, Jupyter
Quantitative finance and statistics
Regression and probability
2+ years in quant trading, desk quant or research with live equities
Asian equity market rules
Data cleaning and feature creation

Preferred

Live systematic equity strategy experience in Asia
Independence and curiosity

Education: Degree in maths, computer science, statistics or a similar STEM field from a top university
Experience: 2+ years in quantitative trading, desk quant or research with live equity exposure
Languages and tools: Python
Markets: equities

How to prepare

Build a cross-sectional signal on a Hong Kong or Japan equity universe with realistic costs
Learn price limits, lot sizes, auctions and stock connect rules
Practise data cleaning around splits and corporate actions
Write a short research memo with out-of-sample results

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Millennium’s site before applying: requirements, location and pay can change after we check them.

View the posting on Millennium’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Millennium and doesn’t handle applications.