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.