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 trader to join the Convertible Arbitrage team within Derivatives and Relative Value (DRV), a modeling team which aims to expand the spectrum of asset classes and types of strategies used for systematic investment management at Two Sigma. Our convertible arbitrage strategy’s objective is to identify mispriced convertible securities and capture the difference between the convertible’s market price and fair value by trading the convertible and hedging its various exposures with a number of other instruments: equities, equity options, Treasury futures, corporate bonds, and credit default swaps. Our goal is to apply Two Sigma’s data science and systematic trading expertise to convertible arbitrage.
You will take on the following responsibilities:
- Help us manage the convertible arbitrage portfolio. This entails identifying new trade ideas, monitoring portfolio exposures, rebalancing hedges, manually executing trades and maintaining business relationships with counterparties.
- Help us analyze convertible, volatility and credit data to improve our convertible trading strategies
- Help us develop technological tools and processes to improve our strategies and operations
You should possess the following qualifications:
- 2-4 years of experience trading or valuing equity derivatives on the buy-side or sell-side. Convertible-specific experience is ideal.
- Comfort working with and analyzing data programmatically
- Intermediate skills in Python or another programming language
- Strong analytical and communication skills