Lead Python Developer

Our client is a leading global financial services organisation with significant operations across wholesale banking and risk management. They operate across five continents, serving complex risk reporting needs for a diverse portfolio. The organisation is committed to building an inclusive workplace where employees are valued, respected and supported through flexible working arrangements, continuous professional development and clear career progression opportunities.

• Senior-level professional experience building and testing Python applications in production environments.
• Proven experience leading and managing developer teams.
• Strong knowledge of coding best practices and ability to identify code quality issues.
• Experience writing clean, Pythonic code with attention to code smells and maintainability.
• Demonstrated expertise in code review best practices and standards.
• Proficiency with git version control systems.
• Experience working in Agile environments, ideally with continuous integration practices.
• MSc or PhD in a technical discipline such as Computer Science, Mathematics, Physics, or Operational Research (desirable).
• Familiarity with credit risk analytics and financial modelling concepts (desirable).
• Knowledge of Python scientific computing stack, including NumPy, SciPy, pandas, polars, and Matplotlib (desirable).
• Experience with PySpark or similar big data tools (desirable).
• Background developing open-source or commercial Python libraries (desirable).
• Experience with containerisation and orchestration tools such as Docker, Kubernetes, and Jenkins (desirable).

• Lead development of credit risk modelling toolkit used across global operations.
• Manage and mentor a medium-sized developer team on high-impact financial engineering projects.
• Shape how thousands of risk analysts work by improving toolkit adoption and user experience.
• Work with senior stakeholders across five continents to influence risk analysis processes.
• Lead the development and maintenance of a large-scale Python library used by credit risk modellers globally.
• Manage a team of developers, providing technical direction, code review oversight and mentoring on best practices.
• Collaborate with wholesale credit risk modellers to understand requirements and ensure toolkit effectiveness.
• Develop and maintain comprehensive testing suites to ensure code quality and reliability.
• Contribute to prototype development that influences risk analysis and measurement processes.
• Gather user feedback and translate this into toolkit improvements and enhancements.
• Promote coding best practices, code review standards and pythonic development across the team.
• Work with senior non-technical stakeholders to communicate technical progress and impact.
• Flexible working arrangements including remote work options to support work-life balance.