Quantitative Developer

Point72 Asset Management, L.P; Greater London; On-site; GBP 65,000 - 95,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, is seeking a developer to join its London office. This growth role offers independence and involvement in live trading and research environments.

You will build components for trading infrastructure, automate processes, implement robust data checks, and monitor systems. 2+ years Python on Linux, a STEM degree, and comfort with ambiguity are required; office-based five days a week.

Qualifications

• Bachelor's degree in computer science or STEM.
• 2+ years of Python development with data science libraries on Linux.
• Strong attention to detail and delivery focus.
• Ability to work with ambiguous requirements.
• Self-driven with initiative.

Responsibilities

• Build components for live trading and research environments.
• Drive automation and robustness of processes.
• Develop robust data checking and handling procedures.
• Monitor and troubleshoot issues; ensure correct operation.

Skills

Python

Data Science

Linux

C++

Rust

Cloud

Education

Bachelor's degree in computer science or STEM

Tools

Docker

Kubernetes

AWS

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:

• Bachelors 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.