Quantitative Developer

Point72; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, seeks a developer to join the London office and contribute to live trading and research. You will build components across trading systems, automate processes, and ensure robust data handling with a focus on reliability.

Requirements include 2+ years of Python on Linux, a STEM degree, and the ability to work with ambiguous requirements. C++/Rust and cloud/containers experience are a plus; you must be in the office five days a week.

Qualifications

• Bachelor’s degree in computer science or a STEM discipline.
• 2+ years commercial Python experience on Linux.
• Ability to work with ambiguous requirements.
• Self-driven, owning problems while knowing when to seek advice.
• Experience with finance or trading systems is a plus.
• Systems programming experience (C++/Rust) a plus.

Responsibilities

• Building components for live trading and research environments.
• Driving automation and robustness of processes.
• Developing robust data checking and handling procedures.
• Monitoring and troubleshooting any issues that arise.
• Shared responsibility for timely and correct operation of trading systems.

Skills

Python

Linux

Analytical skills

Statistics

Ambiguity tolerance

Education

Bachelor's degree in Computer Science or STEM

Tools

C++

Rust

Cloud computing

Containers

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.

• 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.