The Role 

We are seeking exceptional interns to join our Quantitative Research team in the Austin metro area.  As an intern, you will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, and risk management. You will have an opportunity to meaningfully contribute to multiple areas of our quantitative trading business.                                                                           

What You’ll Do 

As a Quantitative Developer Intern, you will help develop and improve the software used in our quantitative research. You will gain insight into building scalable software, using parallel computing to train machine learning models and process large datasets.  You will have the opportunity to use AI tools to improve your productivity in coding and analysis. Over the 10-week internship program, you will collaborate with senior team members to learn what it takes to be a successful Quantitative Developer. Additionally, you’ll network and socialize with colleagues throughout the internship. 

What You Need 

• Currently pursuing a bachelor’s, master’s, or doctoral degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one academic year remaining after the internship) 
• Excellent programming skills in one or more languages such as Python, C, C++, Java, SQL, or R 
• Familiarity with machine learning algorithms and software frameworks 
• The ability to communicate research ideas clearly and succinctly
• Creative problem-solving skills; experience working with production software is a plus 
• Strong attention to detail 
• Previous financial industry experience is a plus but it is not required 

Our Internship 

Kick-start your career in finance with the Schonfeld Summer Internship! Over the course of 10 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you 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, seeking 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’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that 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. 

The annual base pay for this role is expected to be between $175,000 and $220,000. Internship pay will be prorated based on the internship start and end dates. 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 and experience and level of education.