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 to join our Fixed Income Relative Value team. In this role, you will navigate the full research and trading process and apply a rigorous scientific approach to design sophisticated fixed income and related macro investment models spanning all major global markets.
You will take on the following responsibilities:
- Use a rigorous scientific method to develop and test sophisticated quantitative fixed income investment models and trading strategies.
- Where applicable, contribute to and enhance a fixed income relative value analytics platform.
- Play a key role in all aspects of our cutting-edge fixed income investment process, with exposure to workflows including alpha idea generation, statistical analysis, model implementation, portfolio construction, execution and trade analysis.
- Develop deep fixed income market expertise, awareness, and intuition, with a particular focus on derivatives and relative value analysis.
- Help with continued expansion efforts across new regions and asset classes.
You should possess the following qualifications:
- 1-5 years of relevant working experience. Familiarity with fixed income or foreign exchange markets is required.
- Understanding of derivatives theory and analytics is preferred.
- Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, computer science, or applied economics or finance (all levels welcome, from bachelor’s to doctorate).
- Proficient skills in at least one programming language (ideally Python).
- Ability to think independently and creatively approach data analysis and communicate complex ideas clearly.
- Genuine interest in understanding markets with quantitative tools.
- Ability to formulate semi- and fully-systematic investment hypotheses.