- Location
- New York · New York, New York, United States
- Department
- Quant Management
- Experience
- 1+ years
- Education
- PhD
- Source
- Greenhouse
Description
ROLE/RESPONSIBILITES
- 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
REQUIREMENTS
- 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
Skills
Python