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.