Senior Python Developer – Financial Risk Modeling and Analytics

Leading financial institution specializing in Risk Analytics and Modelling, focusing on credit risk modeling toolkits and collaborating globally with Wholesale Credit Risk modellers.

• 5+ years of professional experience in Python application development and testing.
• Proven leadership experience in managing development teams.
• Deep understanding of coding best practices, code review, and version control (git).
• Experience working within Agile environments with continuous integration.
• Strong problem-solving skills and a solid foundation in scientific computing stacks.

Nice to have:

• MSc or PhD in Computer Science, Mathematics, Physics, Operational Research, or Information Systems.
• Familiarity with credit risk analytics and financial domain.
• Knowledge of Python scientific libraries: NumPy, SciPy, pandas, Polars, Matplotlib.
• Experience with Big Data tools such as PySpark.
• Contributions to open-source Python libraries.
• Hands-on experience with Docker, Kubernetes, and Jenkins.

• Lead the development, testing, and maintenance of large-scale Python applications and libraries supporting credit risk models.
• Collaborate directly with end users to gather requirements, provide technical guidance, and ensure effective toolkit utilization.
• Oversee code reviews, enforce best coding practices, and promote a quality-focused development culture.
• Manage a medium-sized team of developers and oversee project portfolios to deliver high-impact solutions.
• Drive the implementation of continuous integration, Agile workflows, and modern development practices.
• Contribute to the creation of prototypes influencing risk analysis and measurement frameworks.
• Interact with senior non-technical stakeholders to align technical developments with strategic goals.
• Maintain comprehensive documentation and testing suites to ensure reliability and compliance.

Only candidates with an existing legal right to work in Europe will be considered for this role.