Quantitative Researcher
Michael Page advertises this role for an unnamed family investment office. The researcher builds and validates systematic equity and derivative models with realistic data and implementation constraints.
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 factor and relative-value investment ideas
- Prepare reliable market and alternative datasets
- Backtest with transaction costs and market impact
- Develop portfolio diagnostics and technical research notes
What they ask for
Required
- Quantitative master qualification
- Mathematics, probability and optimisation
- Python research coding
- Statistical inference
- Out-of-sample evaluation
- Reproducible research practices
Preferred
- C++
- Econometrics or machine learning
- Finance background
- Education
- Master qualification in a highly quantitative subject.
- Experience
- Relevant quantitative or investment experience; strong recent graduates with research or internships are considered.
- Languages and tools
- Markets
- equities, options
How to prepare
- Build a cost-aware equity-factor experiment
- Explain look-ahead and survivorship bias in a dataset
- Compare a derivative model against controlled pricing cases
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 Michael Page International Singapore’s site before applying: requirements, location and pay can change after we check them.
View the posting on Michael Page International Singapore’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Michael Page International Singapore and doesn’t handle applications.