2027 PhD Quantitative Research Intern

We are seeking exceptional PhD candidates to join our Quantitative Research teams where they will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others. Interns will have an opportunity to meaningfully contribute to all facets of running a successful quantitative trading business and help it grow and diversify.

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).
• The ability to communicate research ideas clearly and succinctly
• Creative problem-solving skills and experience working with real-world datasets
• Strong attention to detail

Apply on Schonfeld's site