2027 Quantitative Research Intern

Schonfeld•Austin, TX

1d•$175,000 - $220,000•Onsite

About The Position

We are seeking exceptional interns to join our Quantitative Research team in the Austin metro area. As an intern, you 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, and risk management. You will have an opportunity to meaningfully contribute to multiple areas of our quantitative trading business.

Requirements

Currently pursuing a bachelor’s, master’s, or doctoral degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one academic year remaining after the internship)
Excellent programming skills in one or more languages such as Python, C, C++, Java, SQL, or R
Strong knowledge of probability, statistics, and machine learning techniques.
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

Knowledge of deep learning or natural language processing is a plus.
Previous financial industry experience is a plus but it is not required.

Responsibilities

Contribute to research into predictive trading signals.
Learn how quantitative methods are used to develop and evaluate trading signals.
Develop predictive features and machine learning models.
Test research hypotheses.
Evaluate predictive performance on out-of-sample data.
Use AI tools to improve productivity in coding and analysis.
Collaborate with senior team members to learn what it takes to be a successful quantitative researcher.
Network and socialize with colleagues throughout the internship.