New York, NY·Founded 2001
Two Sigma
Systematic Investment Manager.
About
What Two Sigma actually does
Two Sigma is a technology-driven investment firm that uses data science, artificial intelligence, and advanced engineering to find value in the world's data. With a strong engineering culture, Two Sigma emphasizes innovation and collaboration.
- Founded
- 2001
- HQ
- New York, NY
- Team
- 2,000+
- Process
- 3-5 weeks
Focus areas
Interview process · 3-5 weeks
Round-by-round breakdown
- 1
Online Assessment
60-90 minutesTypically 3 questions: 1 LeetCode-style coding problem and 2 pandas/data manipulation problems. Focus on data science skills.
- Practice pandas operations extensively
- Review LeetCode medium problems
- Focus on clean, efficient code
- 2
Technical Phone Screen
45-60 minutesTechnical interview focusing on your specific track (quant research, SWE, or modeling). May include live coding.
- Be prepared to code in your preferred language
- Explain your thought process clearly
- For quant: review statistics and modeling concepts
- 3
Virtual/Onsite Final Round
Half to full dayMultiple rounds including model design, live coding, and statistics/optimization questions. Content tailored to your background and target role.
- Review OLS, optimization, and Lagrange multipliers
- Practice system design for SWE roles
- Prepare for ML methodology questions
Roles & tracks
Pick the desk that fits
Quantitative Researcher
Develop trading strategies using statistics, machine learning, and econometrics. Heavy focus on data analysis and model building.
Software Engineer
Build the technology infrastructure that powers Two Sigma's trading systems. Strong focus on distributed systems and data engineering.
Quantitative Modeler
Bridge between research and engineering. Implement and optimize trading models for production.
Salary · 2026
What Two Sigma pays
- Intern
- $4,000 - $5,500 per week (~$160k - $220k annualized)
- New grad
- $200k - $350k+ total compensation
- Senior
- $400k - $1M+ total compensation
Two Sigma offers competitive base salaries with significant bonus potential. Benefits include excellent healthcare, 401k matching, and learning stipends.
See full comp datasetOpen roles
Currently hiring at Two Sigma
Quantitative Researcher
Software Engineer
Quantitative Modeler
Candidate experience
What candidates flag at Two Sigma
3-5 weeks from OA to offer
3 rounds total. The first round is a 60-90 minutes online assessment; the final round is a half to full day virtual/onsite final round. Plan the prep arc against this timeline, not a generic one.
Systematic Trading · Machine Learning · Data Science
Systematic Investment Manager. Interview rounds lean on the surface area where Two Sigma actually makes money. Expect questions that probe systematic trading and machine learning more than generic LeetCode patterns.
Strong pandas and NumPy skills are essential
Across the prep tips on this page, the recurring theme is reasoning out loud. Two Sigma interviewers care more about how you arrive at an answer than the answer itself. Plan to narrate.
Editorial summary derived from interview-process and prep-tip data. Anonymous member reviews launching with the /comp dataset.
Prep tips
What actually works for Two Sigma
- Strong pandas and NumPy skills are essential
- Review statistical concepts: regression, hypothesis testing, time series
- Practice ML methodology questions (why/when to use specific algorithms)
- Prepare to discuss research projects in depth
- Understand optimization concepts and Lagrange multipliers
- For SWE: focus on system design and distributed computing
FAQ
