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 strong problem solver with solid math and technical skills and a self-starter attitude to join Risk Management. In this high-tempo role, you will be tasked with managing and improving an array of operational processes for our Systematic Trading Strategies, with daily opportunities to add measurable impact. Responsibilities will include developing new tools and automation, performing data analysis tasks, leading root-cause investigations, creating insightful reports, and writing clear and helpful documentation.
You will take on the following responsibilities:
- Develop a deep understanding of Two Sigma’s systematic modeling and trading platforms and the global markets they operate in
- Monitor daily trading strategy behavior and proactively identify issues that may present risks to Two Sigma’s investors and portfolios. A successful candidate will join the team’s Risk Support Rotation which is responsible for escalating issues in real-time to Two Sigma’s trading businesses, portfolio managers, and engineering and modeling partners
- Develop and maintain alerts, tools, and automated reporting for the Risk department and its partners
- Build tools for quantitative strategy analysis and use these tools to prepare, review, and present reporting on systematic strategy behavior and risk
- Improve our businesses by collaborating regularly on initiatives with partners including modelers, portfolio managers, traders, and investor-facing teams and proactively analyzing data
- Document, perform, and improve operational Risk processes, with an eye towards automation
You should possess the following qualifications:
- Minimum 1 year of experience required; preferred 2+ years of experience in an analytical role
- At a minimum, BA/BS in computer science, applied mathematics, or another technical discipline
- Experience using programming to solve hard problems, preferably using Python
- Strong data analysis skills, preferably in Pandas
- Knowledge of or curiosity about Risk Management, Operational Excellence, Finance, and Markets
- Strong Communicator, preferably with experience in documentation and process design
- Demonstrated ability to think and work independently and with diverse partner teams, comfortable with regular context switching, managing open project scopes and open questions
- Observant, High Attention to Detail, Gets Results