About the role#
We are seeking interns to join our Quantitative Research team in Austin. You will work alongside researchers and developers on projects ranging from the design of novel predictive signals to the enhancement of algorithms for prediction, trade execution, portfolio construction, and risk management. This is a 10-week summer program where you will contribute to our quantitative trading business while learning from senior team members.
What you'll do#
- Contribute to research into predictive trading signals.
- Develop predictive features and machine learning models.
- Test research hypotheses and evaluate performance on out-of-sample data.
- Use AI tools to improve productivity in coding and analysis.
- Collaborate with senior team members.
- Network and socialize with colleagues throughout the program.
What you'll need#
- Currently pursuing a bachelor’s, master’s, or doctoral degree in statistics, mathematics, physics, electrical engineering, or computer science. Ideally, you have one academic year remaining after the internship.
- Excellent programming skills in Python, C, C++, Java, SQL, or R.
- Strong knowledge of probability, statistics, and machine learning techniques.
- Ability to communicate research ideas clearly and succinctly.
- Creative problem-solving skills and experience working with real-world datasets.
- Strong attention to detail.
- Knowledge of deep learning or natural language processing is a plus, as is previous financial industry experience.
Location & details#
- Location: Austin, Texas.
- Term: Summer 2027.
- Modality: On-site, full-time.
- Compensation: This is a paid internship.
About Schonfeld
Schonfeld is a multi-strategy hedge fund established in 1988. Based in New York, the firm operates across five continents. It employs between 501 and 1,000 people. The company focuses on four core strategies including quantitative, fundamental equity, tactical trading, and discretionary macro and fixed income.
How to get in at Schonfeld
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