2027 PhD Quantitative Research Intern
About this role
The quantitative research teams at Schonfeld are building sophisticated predictive signals, algorithmic trading infrastructure, portfolio construction tools, and risk management systems in the Miami metro area. Incoming doctoral interns will work directly with portfolio managers to research fundamental market domains, analyze alternative data sources, and contribute to the growth and diversification of the firm's quantitative trading business. This ten-week program exists to identify and develop emerging quantitative talent by embedding researchers within collaborative teams supported by dedicated managers and mentors.
Participants will tackle real-world financial challenges, backtest hypotheses, and gain exposure to the daily operations of a global multi-manager hedge fund. The ideal candidate is an analytical doctoral student with strong programming abilities, deep statistical knowledge, and a creative approach to solving complex problems using real-world datasets.
What you will do
- Design and implement novel predictive signals to further the firm's alpha research.
- Understand the economics of fundamental domains and extract insights from alternative data offerings.
- Backtest and validate research hypotheses alongside senior team members.
- Contribute to all facets of running a quantitative trading business over the 10-week program.
- Communicate research ideas clearly and succinctly to peers and leadership.
What you need
- Current enrollment in a PhD program in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science.
- Demonstrated programming proficiency in languages including Python, C, C++, Java, SQL, or R.
- Strong foundational knowledge in probability and statistics, covering machine learning, time-series analysis and forecasting, pattern recognition, or natural language processing.
- Proven ability to communicate complex research ideas clearly.
- Demonstrated creative problem-solving skills and practical experience working with real-world datasets.
Nice to have
- Previous financial industry experience
- An advanced degree in a quantitative or technical field
Benefits
- Dedicated manager and mentor guidance throughout the internship
- Participation in learning sessions, hands-on skills workshops, and networking social events
Skills and tech stack
Questions candidates ask
Where is the internship located?
The internship takes place in the Miami metro area, where participants work alongside other researchers and developers.
How long is the internship program?
The program runs for 10 action-packed weeks, during which interns collaborate with senior team members and participate in various learning and networking events.
What is the expected compensation?
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.
What kind of support do interns receive?
Interns are paired with a dedicated manager and a mentor who guide their development over the course of the internship and beyond.