eFinancialCareers
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.
To apply for this job please visit www.reed.co.uk.
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