You’ll be developing components for a research and trading platform used by quant researchers and portfolio managers, handling data from a wide range of sources, and optimizing performance for simulation and live execution. Python is the primary language used throughout the stack, making strong fluency essential.

Core Responsibilities

• Contribute to the architecture, testing, and performance tuning of a scalable trading and backtesting platform.
• Build reliable, production-grade tools that enable researchers to access, clean, and analyze market and alternative data.
• Collaborate with engineers and quantitative researchers to support model development and operational workflows.
• Investigate and resolve software issues in live and simulation environments; contribute to code quality and robustness.

What We’re Looking For

• 1–3+ years of professional Python development experience (finance background not required).
• Solid engineering mindset with an ability to design clean, modular code for long-term maintainability.
• Comfortable working with relational databases; experience with data pipelines is a plus.
• Clear communication skills and the ability to contribute to a collaborative, fast-paced team environment.
• Strong academic background in a STEM subject from a leading university.

Bonus Points

• Familiarity with cloud-native technologies (e.g. AWS, GCP) and containerized environments.
• Exposure to CI/CD workflows or DevOps practices.
• Enthusiasm for test-driven development and clean deployment processes.
• A genuine interest in quantitative finance or systematic trading systems.
• Eligibility to work in the UK is required.

If you’re a Python developer who enjoys solving complex problems with real-world impact—and wants to learn about quantitative trading in the process—this role offers a front-row seat.