Quantitative Developer

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, fueled by our unparalleled access to a wide range of publicly available data sources.

The team is focused on systematic equity trading. It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of 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. All team members are based in the London office five days a week to maximize communication and interaction.

An ideal growth role to suit a developer looking for additional responsibilities and independence.

Responsibilities may include:

• Building components for all aspects of live trading and research environments.
• Driving automation and robustness of our 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 commercial experience with Python and its data science libraries on Linux.
• Pragmatic balance between attention to detail and delivery focus.
• Ability to work with ambiguous requirements.
• Self-driven, owning problems while knowing when to seek advice.
• Knowledge of finance and trading systems a plus.
• Experience with a systems programming language (e.g. C++, Rust) a plus.
• Commercial use of cloud compute and containers a plus.
• Strong analytical skills and command of statistics a plus.
• Be in the office five days a week.
• Commitment to the highest ethical standards.