2027 PhD Quantitative Research Intern
About this role
Developing novel predictive signals, backtesting hypotheses, and refining trade execution algorithms form the core daily focus for interns on the Quantitative Research team. Researchers collaborate closely with developers and portfolio managers to analyze alternative data, understand domain economics, and contribute directly to the firm's alpha research and risk management systems.
Schonfeld operates as a global multi-manager hedge fund leveraging proprietary technology to invest across quantitative, tactical, fundamental, and discretionary strategies. This 10-week summer program provides dedicated mentorship, skills workshops, and networking opportunities alongside senior leaders and peers. Ideal candidates are analytical thinkers currently pursuing a relevant doctorate who combine rigorous statistical knowledge with strong programming capabilities.
What you will do
- Design and implement novel predictive signals for quantitative trading strategies.
- Enhance existing algorithms used for prediction, trade execution, portfolio construction, and risk management.
- Analyze alternative data offerings to gather economic insights within fundamental domains.
- Formulate, backtest, and validate hypotheses to further alpha research.
- Collaborate directly with senior team members and portfolio managers throughout the program.
What you need
- Must be a current PhD student in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science.
- Ideally possess one year remaining in an academic program.
- Demonstrate excellent programming skills in languages including Python, C, C++, Java, SQL, or R.
- Possess strong knowledge of probability and statistics, covering machine learning, time-series analysis, forecasting, pattern recognition, or NLP.
- Show the ability to communicate research ideas clearly and succinctly.
- Apply creative problem-solving skills while working with real-world datasets and maintaining strong attention to detail.
Nice to have
- Previous financial industry experience
- An advanced degree in a quantitative or technical field
Benefits
- Dedicated manager and mentor guidance
- Learning sessions and hands-on skills workshops
- Social events and networking opportunities
Skills and tech stack
Questions candidates ask
How long is the internship program?
The internship program spans 10 weeks over the summer.
What is the expected compensation for the intern role?
The annual base pay for this role is expected to be between $175,000 and $220,000, which will be prorated based on the internship start and end date. Actual compensation is determined based on factors such as skills, qualifications, experience, and education level.
What kind of mentorship will be provided during the internship?
Interns are paired with a dedicated manager and a mentor who guide their development over the course of the internship and beyond.
What qualifications are required for applicants?
Candidates must be current PhD students in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science.