2027 PhD Quantitative Research Intern

Schonfeld•New York, NY

2d•$175,000 - $220,000

About The Position

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

Nice To Haves

Previous financial industry experience although it is not required
An advanced degree in a quantitative or technical field

Responsibilities

Furthering alpha research.
Understanding the economics of a fundamental domain, and the corresponding insights that can be gathered from associated alternative data offerings.
Identifying compelling differentiating factors.
Designing novel predictive signals.
Backtesting and validating hypotheses.
Collaborating with senior team members to learn what it takes to be a successful quantitative researcher.
Networking and socializing with peers throughout the internship.