Schonfeld is seeking PhD candidates to join their Quantitative Research teams to work on various research projects, including the design of novel predictive signals and the enhancement of algorithms for prediction, trade execution, portfolio construction, and risk management, ultimately contributing to the growth and diversification of their quantitative trading business.
Requirements
- Current PhD student in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in your academic program)
- Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R
- Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP)
- Creative problem-solving skills and experience working with real-world datasets
- Strong attention to detail
- An advanced degree in a quantitative or technical field
Responsibilities
- design of novel predictive signals
- enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others
- furthering our alpha research
- identify compelling differentiating factors
- design novel predictive signals
- backtest & validate hypotheses
- learn what it takes to be a successful quantitative researcher
Other
- The ability to communicate research ideas clearly and succinctly
- Ideally with one year left in your academic program
- Previous financial industry experience although it is not required
- Current PhD student
