INTERNSHIPS AT TWO SIGMA
Come collaborate with teammates and mentors on projects that matter while expanding your skills and professional network.
Every summer, we welcome ~80 talented interns in quantitative research and software engineering, providing you with an opportunity to forge a path to a career at Two Sigma.
Quantitative Research teams use the scientific method and advanced techniques to develop predictive investment models and refine our market insights. All the while, we remain engaged in the academic community by attending conferences, sharing insights, and participating in lectures.
As an intern, you will help apply quantitative techniques to look for patterns in the world’s data and systematically test theories. You’ll learn from market experts, deepen your technical skills in AI-assisted development, and participate in seminars exploring how theory applies to our research process.
"I appreciate how interconnected the modeling and engineering teams are, and how much access we have to all of the frontier models, technology, and resources -- and how easy it is to get onboarded, and actually start building. It's exceeded my expectations."
Your internship includes workshops that further develop your technical, public speaking and writing skills, sharpening your edge and preparing you for what’s next in your career.
Hear from former interns, as well as current employees who started off as interns, on what makes our program distinct and how it’s a real pathway to a full time career.
Meet four former interns who’ve grown into full-time roles at Two Sigma and what their internship journeys were like.
Video playlist
When you become a Two Sigma intern, you’ll be matched with a team and own a project for the summer - all with the support of mentors and teammates who are committed to your success.
A data system built for research and live trading
A mission-critical system feeds predictive data to models in simulations and live trading. It needed to be easier to use and more secure, with data updates synchronized across multiple data centers. Our intern used Python to improve how researchers access predictive data, a project that included designing and testing a Pythonic API, strengthening REST service security, synchronizing updates with Kafka and building a web interface for researchers.
There's more to landing an internship here than your technical skills. Get tips on interviewing from interns who have bene through the process themselves.
For our engineering internship roles, we accept undergrads entering junior or senior year of college, masters students, and PhDs pursuing a degree in a technical or quantitative field.
For our quantitative research internship roles, you should be pursuing a degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science with approximately one year remaining in your program (all levels welcome, from bachelor’s to doctorate).
More specific details about technical qualifications can be found in the job application.
