Lead Python Developer, Model Enablement

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. The role is part of the Financial Engineering unit, within the Model Enablement team in Krakow, focusing on credit risk modelling toolkits.

• 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

Nice to have:

• MSc or PhD in a technical discipline such as Computer Science, Mathematics, Physics or Operational Research
• Familiarity with credit risk analytics and financial modelling concepts
• Knowledge of Python scientific computing stack including NumPy, SciPy, pandas, polars, and Matplotlib
• Experience with PySpark or similar big data tools
• Background developing open-source or commercial Python libraries
• Experience with containerisation and orchestration tools such as Docker, Kubernetes, and Jenkins

• 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 toolkit adoption and user experience for thousands of risk analysts
• Work with senior stakeholders across five continents to influence risk analysis processes
• Lead development and maintenance of a large-scale Python library used by credit risk modellers globally
• Provide 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 influencing risk analysis and measurement processes
• Gather user feedback and translate into toolkit improvements and enhancements
• Promote coding best practices, code review standards, and pythonic development across the team
• Communicate technical progress and impact to senior non-technical stakeholders

Contract type: Contract. Location: Krakow, Poland. Remote Status: Hybrid.