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

About the team:

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.

Role and Responsibilities:
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.

Requirements: 
•    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.