Senior Python Developer – Financial Risk Modeling and Analytics

Empower Financial Risk Innovation — Shape the Future of Credit Modeling

Krakow-based opportunity with hybrid work model.

As a Senior Python Developer, you will be working for our client, a leading financial institution specializing in Risk Analytics and Modelling. You will contribute to the development and enhancement of advanced credit risk modeling toolkits, collaborating closely with Wholesale Credit Risk modellers across the globe to ensure efficient and accurate toolkit usage. This role offers an exciting opportunity to influence risk measurement processes and drive operational excellence in a dynamic, international environment.

Your main responsibilities:

• 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 that could influence HSBC’s 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 high standards of reliability and compliance.

You're ideal for this role if you have:

• 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.

It is a strong plus if you 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.

Language Required for the role:
Fluent English, with excellent communication skills.

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

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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.