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Our Interns
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.
Mentorship
Be paired with a mentor from your first day in the program.
Visibility
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.
Adventure
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.
Quantitative Research teams use the scientific method to develop sophisticated and predictive investment models and refine our insights into how the markets will behave. All the while, we remain engaged in the academic community by attending conferences, sharing insights, and participating in lectures.
Engineering teams build software, systems, and other infrastructure to manage enormous data sets and juggle thousands of different simulations, reliably, without much intervention.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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I love the fact that I know my project will have impact, and that someone’s going to take over it and use it even after I leave the internship program. People at Two Sigma care about what others are working on. If you want to join a project you can just jump on it, and your manager will be supportive and say, “Sure go ahead and be awesome."
Two Sigma Intern
My worry was competitiveness. Cut-throat culture is a stereotype that comes with being in the finance industry, but at Two Sigma it’s actually very different.
Two Sigma Intern
I wanted to find a company with a culture driven by scientists, engineers and researchers who believed in the work they were doing. Two Sigma is that kind of company.
Two Sigma Intern
There’s no sense of ‘this is too difficult for someone to solve.’ You will solve the problem or find someone to help you do it.
Engineering Employee
We deeply value our people and we invest in them; we invest in their career.
Quantitative Research Leader
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.
