2027 PhD Quantitative Research Intern

The Role

We are seeking exceptional PhD candidates to join our Quantitative Research teams, where you will work with researchers and developers on a range of research projects, including the design of novel predictive signals and the enhancement of algorithms for prediction, trade execution, portfolio construction, risk management, and related areas.

Interns have the opportunity to meaningfully contribute to all facets of running a successful quantitative trading business and help it grow and diversify.

What You’ll Do

Depending on the portfolio manager team you join, as a Quantitative Researcher Intern you will be directly responsible for furthering our alpha research. You will understand the economics of a fundamental domain and the corresponding insights that can be gathered from associated alternative data offerings.

You will identify compelling differentiating factors, design novel predictive signals, and backtest and validate hypotheses.

Over the 10-week internship program, you will collaborate with senior team members to learn what it takes to be a successful quantitative researcher. You will also have opportunities to network and socialize with peers throughout the internship.

What You Need

• Current PhD student in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in your academic program).
• Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R.
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP).
• Ability to communicate research ideas clearly and succinctly.
• Creative problem-solving skills and experience working with real-world datasets.
• Strong attention to detail.

We’d Love If You Had

• Previous financial industry experience (not required).
• An advanced degree in a quantitative or technical field.

Our Internship

Kick-start your career in finance with the Schonfeld Summer Internship. Over 10 weeks, you will build solutions that tackle real-world challenges and leave a lasting impact on the firm.

As an intern, you will join a close-knit team supported by a dedicated manager and a mentor who will guide your development throughout the internship and beyond. During the program, you will connect with senior leaders through learning sessions, attend hands-on skills workshops, network at social events, and gain a behind-the-scenes look at how various functions power the firm. You will be empowered to bring your ideas to life and make an impact.

Who We Are

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure, and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity, and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we invest in you. Attracting and retaining top talent is at the heart of what we do because we believe exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate, and pursue ambitious goals. We are teamwork-oriented, collaborative, and encourage ideas at all levels to be shared.

As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships, and service initiatives that promote inclusion and purpose beyond the firm’s walls.

Compensation

The annual base pay for this role is expected to be between $175,000 and $220,000, which will be prorated based on internship start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, experience, and level of education.