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Our Interns

Our interns come from all degree levels and a wide range of backgrounds. They are united by an intellectual curiosity, passion for math, science and technology, and desire to do impactful work.

The Internship Experience

Our comprehensive internship programs offer a uniquely Two Sigma experience. Over the summer, you can expect:

Professional Skill Building

Further develop your professional toolkit with workshops on technical skills, public speaking, and writing.


Be paired with a mentor from your first day in the program.


Interact and engage with our senior leaders at events ranging from small group lunches to company-wide talks.

Customized Curriculum

You will benefit from a customized curriculum based on your internship area.


Explore New York City through community events and social outings, like Broadway musicals and food tours.

Our Internships

We welcome interns across two broad disciplines and provide shared programming.

A Day in the Life

While every day looks a bit different, Software Engineering and Quantitative Research intern daily calendars are typically filled with technical trainings, organized social events, and dedicated time to work on final projects.

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Example Projects

As a Two Sigma intern, you’ll be matched with a specific team, and you will own a project for the summer. Don’t worry—your teammates will be working alongside you and are there to help you along the way.

Intelligent Email Review Platform

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Next Generation Event Management

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Finding Patterns in Real World Data

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Intelligent Email Review Platform

As an investment adviser, Two Sigma is required to abide by many industry regulations. To assist Two Sigma in staying compliant with these regulations, our Compliance department monitors email communication. In order to increase the efficiency of our current email review process, we set out to develop an automated tool to help identify noteworthy emails and present them to the Compliance team for review through an easy-to-use interface. Towards this goal, our intern created an experimental platform to test and compare machine learning algorithms for labeling emails as noteworthy and a compliance review UI to present these emails to a compliance officer for human review.

Next Generation Event Management

One of Two Sigma’s critical products feeds predictive data sets to models in simulation environments and live trading. We wanted to use the dynamic structure of Python to make the system easier to use and more secure. To achieve this, we designed and prototyped a Pythonic API, trialled it with users, and iterated to incorporate feedback. We then implemented enhancements to the REST service, improving security and allowing us to centralize system metadata edits. Because the system is mission-critical and requires redundant services in multiple data centers, we devised a change notification system utilizing Kafka to synchronize data updates in real-time. We re-built existing tools in Python to work through this upgraded service. To finish the project, we moved the researchers’ interactions with their datasets to the web with an AngularJS UI.

Finding Patterns in Real World Data

Two Sigma’s research teams imagine and devise quantitative trading models using advanced techniques in time series forecasting, machine learning, analyzing real data sets, and applying cutting-edge techniques to derive insights for their teams and projects. We implement state-of-the-art machine learning algorithms and test these on real world alpha modeling problems. All Quantitative Research interns have the opportunity to conduct research on financial data analysis, forecasting techniques, and statistical models, as well as apply their skills in a real world setting to learn multiple aspects of quantitative trading and research. In the past, interns collected and analyzed unique, novel, unconventional data sets like ecommerce activity, energy consumption, and traffic patterns to predict behavior of companies, industries, and the global economy.