Quant jobs / Schonfeld
2027 PhD Quantitative Research Intern
A 10-week internship for PhD students on Schonfeld's quantitative research teams in the Miami area. Interns do alpha research for live trading strategies.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Understand a fundamental domain and what alternative data says about it
- Design predictive signals
- Backtest and validate hypotheses
- Work with senior researchers on production-relevant ideas
What they ask for
Required
- PhD in progress in a quantitative field
- Python, C, C++, Java, SQL or R
- Probability and statistics
- Machine learning and time-series analysis
- Real-world datasets
- Clear communication
Preferred
- Prior finance experience
- Advanced degree
- Education
- Current PhD student in statistics, maths, physics, electrical engineering, computer science or similar, ideally one year from finishing.
- Experience
- PhD students
- Languages and tools
How to prepare
- Run a full alpha research project on public data, from hypothesis to backtest
- Revise time-series forecasting and pattern recognition methods
- Study how alternative data is cleaned and mapped to securities
- Prepare a short talk on your research project
What to study
- Quantitative Research, Data and Backtesting
- Financial Machine Learning
- Econometrics and Financial Time Series
- Probability, Statistics and Financial Data
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Schonfeld’s site before applying: requirements, location and pay can change after we check them.
View the posting on Schonfeld’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Schonfeld and doesn’t handle applications.
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