Equity Quantitative ResearcherNew YorkRole/ResponsibilitiesPerform rigorous and innovative research to discover systematic anomalies in equity marketEnd-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementationIdentify and evaluate new datasets for stock return predictionsMaintain and improve the portfolio trading in production environmentRequirementsMS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics 1+ years of work experience in systematic alpha research in equitiesExperience developing short term alpha signals (intraday or a few days) is a plusDemonstrated proficiency in R or PythonStrong command of foundations of applied statistics, linear algebra, and time series modelsAbility to quickly and efficiently scrub, format, and manipulate large, raw data sourcesStrong knowledge of financial marketsHighly motivated, willing to take ownership of his/her workCollaborative mindset with strong independent research ability
