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 RoleEmploy a principled, scientific approach to develop equity focused quantitative investment modelsCreate automated investment models from internally reviewed research projectsCollaborate with peers to uncover unique insights into various datasetsAnalyse and optimise the monetisation of forecasts using mathematical toolsEmploy a quantitative approach to measure and manage the risk of portfolio instrumentsOptimise the efficiency of research and trading using scientific methodsThe CandidateMSc/PhD in a quantitative discipline, such as mathematics, statistics, physics, electrical engineering, computer science, or operations research; from a top tier universityExperience using mathematical tools in a variety of contextsExperience analysing real-world problems and big data with a principled, scientific approachExperience in, and a willingness to pursue, the application of machine learning and advanced statistical techniquesA minimum of 4 years experience in a Quantitative Research position, with a focus on systematic equities tradingStrong programming ability in Python or C++Equities Quantitative Researcher - London / Singapore / Hong Kong (Python)