Quantitative Analyst
Black Dragon researches systematic strategies for APAC equities. The analyst develops predictive models and uses data and AI tools in the research workflow.
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 and backtest signals.
- Analyse diverse datasets.
- Improve predictive models.
What they ask for
Required
- Python or C++
- Quantitative research
- Statistics or ML
- AI-tool evaluation
- Mandarin and English
- Education
- No degree requirement stated.
- Experience
- Two to three years in quantitative strategy development.
- Languages and tools
- Markets
- equities
How to prepare
- Backtest an equity signal.
- Validate AI-assisted data extraction.
- Check statistical robustness.
What to study
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 Black Dragon Asset Management Limited’s site before applying: requirements, location and pay can change after we check them.
View the posting on Black Dragon Asset Management Limited’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Black Dragon Asset Management Limited and doesn’t handle applications.