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)