Junior Quantitative Analyst, Hong Kong
Polymer’s junior quant applies coding and machine learning to equity and financing research. The role supports senior traders with models, datasets and empirical analysis.
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 equity and Delta One models with traders
- Analyse factors and portfolio-risk questions
- Prepare datasets using statistical tools
- Build software supporting repeatable research
What they ask for
Required
- Quantitative bachelor or master study
- Coding and machine-learning foundations
- Equity instruments and market data
- Dataframe manipulation
- Analytical problem-solving
- Technical communication
- Education
- Bachelor or master qualification in maths, statistics, computing or a related quantitative field.
- Experience
- Under two years of relevant experience; graduates welcome.
- Languages and tools
- Markets
- equities
How to prepare
- Build an equity-factor research notebook
- Explain how financial data is cleaned and aligned
- Compare a machine-learning feature with a simple baseline
What to study
- Probability, Statistics and Financial Data
- Quantitative Research, Data and Backtesting
- Financial Machine Learning
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Polymer Capital Hong Kong’s site before applying: requirements, location and pay can change after we check them.
View the posting on Polymer Capital Hong Kong’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Polymer Capital Hong Kong and doesn’t handle applications.