Quantitative Researcher, Systematic Equities

Quantitative Researcher, Systematic Equities Millennium 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 Description Quantitative 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. Location London (preferred) Principal Responsibilities Working 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 strategies Combine 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 process Develop and improve sophisticated python-based software tools and libraries for machine learning researches Write and maintain neat, modular code on a jointly owned codebase of significant size and complexity Collaborate with the SPM in a transparent environment, engaging with the whole investment process Preferred Technical Skills Strong research and 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 a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked university Demonstrate excellent communication, analytical and quantitative skills Preferred Experience 3+ years of experience with cash equities strategies doing alpha research 3+ years of experience in equity alpha capture and flow research 3+ years of experience in equity intraday trading Highly Valued Relevant Experience Demonstrated ability to understand fundamental and event related data and experience with alternative data sources Strong economic intuition and critical thinking Product experience in statistical arbitrage strategies Product experience with machine learning based alphas would be valued Target Start Date As soon as possible