Quantitative Research Intern – Investment Models

Job Description

Quantitative Researcher – Internship | Two Sigma

The Tone:
This is a Quantitative Researcher internship at Two Sigma, located in New York City. Two Sigma operates as a leading quantitative investment management and trading firm, employing a scientific approach that integrates cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. This role is crucial for developing creative solutions to some of the world’s most complex economic problems, contributing alongside a team of engineers, quantitative researchers, and data scientists. You will engage in meaningful work that impacts a diverse range of investors, including major retirement funds, research institutions, educational endowments, healthcare systems, and foundations.

The TL;DR
• Role: Internship
• Type: Seasonal
• Location: In-person, New York, NY
• Pay: $4900–$5500 weekly (Bachelor’s $4,900, Master’s $5,000, PhD $5,500)
• Mission: Lead efforts in using the scientific method to develop sophisticated investment models and gain deep insights into future market behavior.
• Tech Stack: C, C++, Java, Python

What You’ll Actually Do
• Model Development: Use the scientific method to develop sophisticated investment models and shape insights into how markets will behave.
• Data Application: Apply quantitative techniques, such as machine learning, to a vast array of datasets to uncover patterns and opportunities.
• Idea Generation & Validation: Create and rigorously test complex investment ideas, collaborating with engineers to validate and refine your theories.
• Academic Engagement: Actively participate in the academic community by joining reading circles to stay current with research papers and attending academic seminars with thought leaders.
• Project Execution: Partner with an assigned mentor to complete a single, focused project over 10 weeks, culminating in a final presentation of your findings.

The Must-Haves
• Background: 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 your program. This includes students from bachelor’s to doctorate levels.
• Experience: Demonstrated experience having performed an in-depth research project that involved examining real-world data.
• Skills: Intermediate proficiency in at least one programming language (e.g., C, C++, Java, or Python); Strong independent thinking abilities to creatively approach data analysis; Clear and effective communication skills for complex ideas.
• Bonus: A background in finance is considered beneficial but is not a prerequisite, as Two Sigma emphasizes quantitative skills and provides training in financial aspects.