Quantitative Developer

About Cubist:

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.

Requirements:

• 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.