Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
We are looking for a quantitative researcher with an excellent background in statistical techniques and data analysis. In this role, you will navigate the full research process and apply a rigorous scientific approach to design sophisticated investment models for trading a variety of global markets.
You will take on the following responsibilities:
- Use a rigorous scientific method to develop sophisticated investment models and shape our insights into how the markets will behave
- Apply quantitative techniques like machine learning to a vast array of datasets
- Create and test complex investment ideas and partner with our engineers to test your theories
- Join our reading circles to stay up to date on the latest research papers in your fields
- Attend academic seminars to learn from thought leaders from top universities
- Share insights from conferences focused on statistics, machine learning, and data science
You should possess the following qualifications:
- Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
- Intermediate skills in at least one programming language (like C, C++, Java, or Python)
- Experience performing an in-depth research project, examining real-world data
- Ability to think independently and creatively approach data analysis and communicate complex ideas clearly