Senior Python Developer

HeadHR; Kraków; On-site; PLN 60,000 - 80,000; Full time

Job summary

HeadHR is seeking a Senior Python Engineer to join their Risk Analytics and Financial Engineering team in Kraków, Poland. This role involves developing Python-based analytical toolkits and collaborating with risk modelling teams to enhance their use of these tools.

The ideal candidate will design scalable solutions, contribute to Python libraries, and drive software engineering best practices. Strong analytical skills and experience in a collaborative environment are essential.

Qualifications

• Experience in developing and maintaining Python-based analytical toolkits.
• Strong proficiency in software engineering principles.
• Ability to collaborate with quantitative analysts and risk modelling teams.

Responsibilities

• Develop and maintain Python-based analytical toolkits used in credit risk modelling.
• Design and implement scalable and maintainable software solutions.
• Contribute to large Python libraries, ensuring code quality.

Skills

Python

Software engineering

Analytical toolkits

CI/CD

Collaboration

Job description

We are looking for an experienced Senior Python Engineer to join a global Risk Analytics and Financial Engineering environment focused on enabling scalable and efficient credit risk model development.

The role sits within a Model Enablement team responsible for supporting risk modelling teams in adopting and effectively using internal analytical toolkits and platforms. The successful candidate will contribute both to the development of Python-based modelling libraries and to collaboration with end users to ensure best practices, usability, and continuous improvement of the tooling ecosystem.

This position combines software engineering, quantitative tooling, and stakeholder collaboration in a highly analytical environment supporting large-scale risk modelling initiatives.

Kogo poszukujemy?

• Develop and maintain Python-based analytical toolkits used in credit risk modelling.
• Design and implement robust, scalable, and maintainable software solutions.
• Contribute to large Python libraries, including architecture, testing, and code quality improvements.
• Collaborate closely with quantitative analysts and risk modelling teams to understand requirements and support toolkit adoption.
• Drive best practices in software engineering, code review, and testing.
• Develop automated testing suites and contribute to CI/CD-oriented development workflows.
• Gather user feedback and help shape future improvements of modelling platforms and tools.
• Support rapid prototyping initiatives related to risk analytics and risk measurement.