Quantitative Developer
At a glance
Mid-level Data Science role at Point72. London · full-time · no salary stated · we estimate £62,250–£94,375.
Point72 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build software components that support both live trading and research work
- Automate team processes and strengthen their reliability
- Create checks and handling procedures for data quality
- Watch for problems, investigate them, and help keep trading systems running correctly and on time
What you bring
- A computer science or other STEM degree, or an equivalent qualification
- At least two years using Python and its data science libraries commercially on Linux
- You balance careful work with delivery, handle unclear requests, and take ownership while seeking guidance when needed
Who this fits
This role suits a developer ready for more independence and responsibility across trading and research systems. You’ll work from the London office five days a week.
From the employer
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.
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