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 or quantitative software engineer with an excellent background in statistical techniques, data analysis and programming. In this role, you will navigate the full research process and apply a rigorous scientific approach to improve the trading of instruments across a variety of global markets.
You will take on the following responsibilities:
- Improve monetization of alpha models by enhancing portfolio construction techniques and execution tactics
- Workflows consist of idea generation, data exploration, statistical analysis, implementation and A/B testing
- Contribute to an innovative quantitative research and simulation platform
- Collaborate in a team environment with researchers and engineers
You should possess the following qualifications:
- Advanced degree in a quantitative discipline such as statistics, mathematics, computer science, or operations research
- Expertise in statistical analysis and working with large datasets
- Experience developing high-frequency trading tactics is a plus
- Excellent programming skills (Python plus a system programming language like Java, C/C++, Rust)
- Ability to tackle large research projects, discover creative solutions and communicate complex ideas clearly