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Two Sigma

Quantitative finance firm building predictive models

Quantitative Researcher Intern

Quantitative ResearchConfirmed live in the last 24 hours
Internship · Summer 2027New York, NY, USA$145 /hr

About the Job

Requirements

  • Are pursuing a degree in a technical or quantitative discipline, such as statistics, mathematics, physics, electrical engineering, or computer science, with approximately one year remaining in the program; all degree levels from bachelor's to doctorate are welcome.
  • Demonstrate intermediate skills in at least one programming language, such as C, C++, Java, or Python.
  • Have performed an in-depth research project examining real-world data.

Responsibilities

  • Use the scientific method to develop sophisticated investment models and shape insights into how markets will behave.
  • Apply quantitative techniques such as machine learning to a wide array of datasets.
  • Create and test complex investment ideas and partner with engineers to test theories.
  • Participate in reading circles to stay current on research papers in relevant fields.
  • Attend academic seminars to learn from thought leaders at top universities.
  • Work on a single project with an assigned mentor during the 10-week summer internship and present the project at its conclusion.

Desired Qualifications

  • A background in finance is nice to have, although it is not required.

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$378.2M
Headquarters
New York City, New York
Founded
2001

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