Quantitative Researcher/Developer, Systematic Equities Job Description: Quantitative Researcher/Developer, Systematic Equities Job Description Quantitative Researcher as part of a small, collaborative trading team with a focus on systematic trading strategies in equities markets. Location Hong Kong, Singapore, and Tokyo Principal Responsibilities Work alongside the Senior Portfolio Manager on alpha research and development, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing for systematic equity strategies Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process Work on sophisticated python-based software tools and libraries Write neat, modular code on a jointly owned codebase of significant size and complexity Collaborate with the Senior Portfolio Manager in a transparent environment, engaging with the whole investment process Preferred Technical Skills Strong programming skills in Python and experience working on sophisticated Python-based software tools and libraries in a fast changing environment Masters or PhD degree in STEM field from a top ranked university Demonstrate excellent communication, analytical and quantitative skills Preferred Experience 3-10 years of experience in quantitative equity trading for EM, with a focus on Asian markets Practical experience in financial data processing, alpha research, and back testing Experience building and working with large data sets Highly Valued Relevant Experience 3-10 years of experience working in a quantitative research/development capacity in a systematic trading environment with product experience in statistical arbitrage strategies or equivalent sell-side experience and a focus on Asia markets A surface level familiarity with C++ would be valued Target Start Date As soon as possible Open to 3-6 month NCA for exceptional candidates