Equities Quantitative Researcher

Job Description
We're partnered with a leading buy-side firm renowned for its innovative systematic trading team, dedicated to advancing investment pipelines with machine-driven approaches. They explore beyond finance, delving into mathematics, statistics, and machine learning to achieve their mission. My client is seeking a talented Quantitative Researcher to build trading strategies, requiring a blend of technical expertise, creative problem-solving, and a keen curiosity about financial markets.
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)