Quantitative Researcher, Systematic Equities
Quantitative Researcher, Systematic EquitiesMillennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.Job DescriptionQuantitative Researcher, with systematic equity experience, as part of a collaborative team based in London on systematic equity trading.This collaborative, and entrepreneurial systematic investment team is seeking a strong equities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.LocationLondon (preferred)Principal ResponsibilitiesWorking alongside the SPM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategiesCombine rigorous scientific methods and machine learning or 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 processDevelop and improve sophisticated python-based software tools and libraries for machine learning researchesWrite and maintain neat, modular code on a jointly owned codebase of significant size and complexityCollaborate with the SPM in a transparent environment, engaging with the whole investment processPreferred Technical SkillsStrong research and programming skills in Python and experience working on sophisticated Python-based software tools and libraries in a fast changing environmentMasters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked universityDemonstrate excellent communication, analytical and quantitative skillsPreferred Experience3+ years of experience with cash equities strategies doing alpha research3+ years of experience in equity alpha capture and flow research3+ years of experience in equity intraday tradingHighly Valued Relevant ExperienceDemonstrated ability to understand fundamental and event related data and experience with alternative data sourcesStrong economic intuition and critical thinkingProduct experience in statistical arbitrage strategiesProduct experience with machine learning based alphas would be valuedTarget Start DateAs soon as possibleRecruiter:Brian KimmelHiring Manager:Zhenhai LiDepartment:Trading