Equities Quantitative Researcher - London / Singapore / Hong Kong (Python)
The Role
- Employ a principled, scientific approach to develop equity focused quantitative investment models
- Create automated investment models from internally reviewed research projects
- Collaborate with peers to uncover unique insights into various datasets
- Analyse and optimise the monetisation of forecasts using mathematical tools
- Employ a quantitative approach to measure and manage the risk of portfolio instruments
- Optimise the efficiency of research and trading using scientific methods
The Candidate
- MSc/PhD in a quantitative discipline, such as mathematics, statistics, physics, electrical engineering, computer science, or operations research; from a top tier university
- Experience using mathematical tools in a variety of contexts
- Experience analysing real-world problems and big data with a principled, scientific approach
- Experience in, and a willingness to pursue, the application of machine learning and advanced statistical techniques
- A minimum of 4 years experience in a Quantitative Research position, with a focus on systematic equities trading
- Strong programming ability in Python or C++
Equities Quantitative Researcher - London / Singapore / Hong Kong (Python)