Quantitative Developer

Point72 Careers
London
1 week ago
Applications closed

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Quantitative developer

Quantitative developer

Quantitative Developer

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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.


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