The Quantitative Researcher (multiple openings) at MPG Operations LLC in New York, New York will build strong predictive models that will be deployed throughout the investment process. Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets. Work on a small, collaborative team with a focus on systematic equities trading strategies. Work alongside the Senior Portfolio Manager (SPM) on developing trading strategies with a primary focus on idea generation, data gathering, research and analysis, model implementation, and back-testing for systematic equities trading strategies. Collaborate with the SPM from engagement throughout the entire investment process. Utilize knowledge of database structures and data science to collect and clean financial-related data (vendor or self-sourced) using database architecture, data visualization, and data maintenance. Generate trade ideas and strategies that are financially sound using advanced financial tools and economic principles. Back-test quantitative models using algorithm-based simulations and optimization techniques. Conduct risk analysis to evaluate and control risks to the portfolio. Conduct post-trade analysis to understand and to improve trade strategies. Work with head of group to improve best practices and overall business strategy. Salary: $150,000 to $200,000 per year.Minimum Requirements: Requires a Master's degree in Statistics, Financial Mathematics, or a related quantitative field, plus 3 years in a professional occupation analyzing economic data analysis to generate trading strategy ideas. Employer will also accept a Bachelor's degree in Statistics, Financial Mathematics, or a related quantitative field, plus 5 years in a professional occupation analyzing economic data analysis to generate trading strategy ideas. Must include 3 years of experience with each of the following: (1) Python programming; (2) advanced statistical learning techniques including regression and classification; (3) database structures and data science to collect and clean financial-related data; (4) algorithm-based simulations and strategy optimization techniques, including statistical arbitrage strategies; (5) strategy risk analysis and management; (6) modern portfolio theory, including portfolio construction; and (7) machine learning.To apply please send resume to [email protected] and reference job code "0393" when applying. #LI-NDI #LI-DNI #LI-DNP

　　Minimum Salary: 150000Maximum Salary: 200000Salary Unit: Yearly