Perform rigorous and innovative research to discover systematic anomalies in equity market
End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation
Identify and evaluate new datasets for stock return predictions
Maintain and improve the portfolio trading in production environment

MS 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 equities
Experience developing short term alpha signals (intraday or a few days) is a plus
Demonstrated proficiency in R or Python
Strong command of foundations of applied statistics, linear algebra, and time series models
Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
Strong knowledge of financial markets
Highly motivated, willing to take ownership of his/her work
Collaborative mindset with strong independent research ability