Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fuelled by our unparalleled access to a wide range of publicly available data sources.
About the team:The team focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. We require London based in the short term to maximise team efficiency, but are flexible in location in the medium and long term.
Role/Responsibilities:An ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.
Responsibilities may include:
- Building components for all aspects of live trading and research environments.
- Driving automation and robustness of the team’s processes.
- Developing robust data checking and handling procedures.
- Monitoring and troubleshooting any issues that should arise.
- Shared responsibility for timely and correct operation of trading systems.
- Bachelor’s degree or equivalent in computer science or other STEM discipline.
- 2+ years of commercial experience with Python and its data science libraries.
- Experience with Linux and basic bash scripting.
- Solid understanding of computation, OOP/architecture design, and data engineering.
- Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.
- Accountable, self-driven, with high standards for deliverables and performance.
- Ability to work and deliver in a fast pace.
- Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.
- Ability to work with ambiguous requirements.
- Commercial use of cloud compute and containers a plus.
- Strong analytical skills and command of statistics a plus.
- Commitment to the highest ethical standards.
