Overview
Lead the design, development, and optimization of scalable, high-performance Python software solutions across enterprise platforms, with a focus on financial data processing and system integration.
What you'll do
- Develop and maintain Python applications for financial data processing, modelling, and reporting.
- Design scalable microservices and APIs for integration with trading platforms, market data providers, and internal systems.
- Collaborate with finance and risk teams to automate workflows and enhance data accuracy and timeliness.
- Optimize performance of real-time and batch data pipelines handling large datasets.
- Ensure systems meet regulatory and compliance requirements (e.g., MiFID II, Basel III, SOX).
- Lead code reviews, mentor junior developers, and promote best practices in secure and maintainable coding.
- Work with DevOps to deploy solutions in cloud or hybrid environments (AWS, Azure, GCP).
What you'll need
- 5+ years of Python development experience in enterprise or financial environments.
- Strong understanding of financial instruments (equities, derivatives, fixed income) and market data.
- Experience with financial libraries (e.g., NumPy, Pydantic, PyTorch, Pandas, PySpark, QuantLib).
- Familiarity with trading systems, risk engines, or portfolio management platforms.
- Proficiency in cloud technologies, containerization (Docker/Kubernetes), and CI/CD pipelines.
- Excellent analytical, communication, and stakeholder management skills.
Nice to have
- Experience in the UK financial sector or financial sector in general.
- Knowledge of strict compliance, risk, and security rules.
Details
Read the full description and apply on the company’s own careers page.