HOME Software Engineering & Dev Quantitative Developer
  • Point72
  • London, Greater London
  • 40 days ago
Point72 VERIFIED EMPLOYER

Quantitative Developer.

Software Engineering & Dev

Quantitative Developer: our view in 3 lines...

  • The Role:This role is for a quantitative developer building software for systematic equity trading and research at a computer-driven trading firm.
  • The Person:The person will build components for live trading and research environments, drive automation and robustness, develop data checking and handling procedures, and monitor and troubleshoot trading systems.
  • Requirements:The ideal candidate has a bachelor’s degree or equivalent in computer science or another STEM discipline, 2+ years commercial experience with Python and its data science libraries on Linux, and experience with a systems programming language.

About the role

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. 

Published August 10, 2026
Location London, United Kingdom