Schonfeld is seeking exceptional interns to join their Quantitative Research team 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. The goal is to contribute to multiple facets of running a successful quantitative trading business and help it grow and diversify.
Requirements
- 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).
Responsibilities
- design of novel predictive signals
- enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others
- furthering our alpha research
- design novel predictive signals
- backtest & validate hypotheses
- apply cutting edge AI tools to enhance your coding and analysis productivity
- learn what it takes to be a successful quantitative researcher
Other
- A Bachelor’s, Master’s, or PhD degree 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)
- The ability to communicate research ideas clearly and succinctly
- Creative problem-solving skills and experience working with real-world datasets
- Strong attention to detail
- Previous financial industry experience is a plus but it is not required
