Quantitative Developer

Posted 10 days 9 hours ago by Point72 Asset Management, L.P

Permanent
Full Time
Other
London, United Kingdom
Job Description
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.