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Quantitative Researcher - Internship [2026 Summer]

Salary

$254k - $286k

Min Experience

0 years

Location

New York

JobType

internship

About the job

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About the role

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital. Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems. When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you'll be doing work that matters to a lot of people, too. Our investors include some of the world's largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we're proud to serve these organizations. You will take on the following responsibilities: Use the scientific method to develop sophisticated investment models and shape our insights into how the markets will behave Apply quantitative techniques like machine learning to a vast array of datasets Create and test complex investment ideas and partner with our engineers to test your theories All the while, you'll remain engaged in the academic community. As examples, you can: Join our reading circles to stay up to date on the latest research papers in your fields Attend academic seminars to learn from thought leaders from top universities The internship program lasts 10 weeks in the summer and takes place at our Soho-based, New York City office. You will partner with an assigned mentor and work on a single project during the course of your time here, which will culminate in a final presentation at the conclusion of the program.

About the company

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.

Skills

python
machine learning
quantitative techniques