About the role#
This is a 10-week summer internship based in our New York City office. You will work on a single project with an assigned mentor, culminating in a final presentation. You will also have the opportunity to participate in reading circles and attend academic seminars.
What you'll do#
- Use the scientific method to develop investment models.
- Apply machine learning and other quantitative techniques to diverse datasets.
- Create and test complex investment ideas.
- Partner with engineers to test your theories.
What you'll need#
- Current pursuit of a degree in computer science, mathematics, statistics, physics, computer engineering, or electrical engineering.
- Approximately one year remaining in your degree program.
- Intermediate programming skills in C, C++, Java, or Python.
- Experience with an in-depth research project using real-world data.
- Ability to think independently and communicate complex ideas clearly.
- No prior finance background is required.
Location & details#
- Location: New York, NY.
- Term: Summer 2027.
- Work Modality: Hybrid and on-site.
- Compensation: $4,900 per week for Bachelor's students, $5,000 per week for Master's students, and $5,500 per week for PhD students.
- Status: Full-time internship.
About Two Sigma
Two Sigma is a quantitative investment management firm. It uses data science, artificial intelligence, and software development to manage assets. The company operates globally with its headquarters in New York. It employs over 2,400 people.
How to get in at Two Sigma
Applying early at Two Sigma gives you a distinct advantage because recruiters review candidates as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first before the pile grows. Reaching the right person at Two Sigma often beats applying into a general queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves your response rates.
