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Quantitative Jobs & Internships at Two Sigma 2026

Two Sigma is a data science and technology-driven hedge fund that applies machine learning and statistical analysis to financial markets at scale. Founded by mathematicians and computer scientists David Siegel and John Overdeck, Two Sigma emphasizes scientific rigor and maintains a culture closer to a research institution than a traditional hedge fund. The firm manages over $60 billion and has been consistently profitable through its systematic, data-driven approach to investing.

$14,000–$17,000/moIntern monthly pay

AI Roles at Two Sigma

Quantitative Researcher

Software Engineer

Data Scientist

ML Researcher

Systems Engineer

Quantitative Trader

Data Engineer

Research Analyst

Work Culture at Two Sigma

Two Sigma has an academic, research-oriented culture that sets it apart from more aggressive trading firms. The company publishes more research and engages more with academic machine learning conferences than most hedge funds. Decision-making is consensus-driven and thoughtful. Employees have significant autonomy to pursue research directions they believe are promising. The culture values intellectual curiosity, humility, and collaborative problem-solving over individual heroics.

How to Get a Job at Two Sigma

  • 1.

    Two Sigma's scientific culture means deep quantitative research skills — statistics, ML, and financial econometrics — are valued equally alongside programming

  • 2.

    The interview process is comprehensive and involves multiple rounds of technical assessment including statistics problems, coding exercises, and research discussion

  • 3.

    Demonstrating comfort with the scientific method — forming hypotheses, designing experiments, controlling for confounds — is particularly relevant for quant research roles

  • 4.

    Two Sigma's technology track emphasizes high-performance computing and data infrastructure — distributed systems and large-scale data engineering experience is relevant

  • 5.

    Two Sigma has a strong internship program and treats interns as full contributors to research and technology projects — successful internships are the most reliable path to full-time offers