Senior Python Developer

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. We are looking for an experienced Senior Python Developer to join our Financial Engineering team within the Global Risk Analytics area. This role focuses on Model Enablement , working closely with internal stakeholders to enhance and maintain toolkits that standardize and accelerate credit risk model development across the organization. Sounds like your kind of challenge? #LI- Hybrid – 1 day Office / 4 days Remote What you get in return Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.) Hybrid work setup – 1 day Office / 4 days Remote Collaborative team culture – work alongside experienced professionals eager to share knowledge Continuous development – access to training platforms and growth opportunities Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more High quality equipment – laptop and essential software provided
Requirements:
Senior-level experience building and testing applications in Python, Strong knowledge of: Object-oriented programming and test-driven development (TDD), Testing principles and tools (pytest), SOLID principles and design patterns, Familiarity with coding best practices, code review standards, and Git version control, Agile development experience and CI/CD exposure. Nice to Have MSc or PhD in Computer Science, Mathematics, Physics, Operations Research, or similar technical fields, Knowledge of credit risk or related financial domains, Experience with scientific computing libraries (NumPy, SciPy, pandas, polars, Matplotlib), Familiarity with big data tools (PySpark), Contributions to open-source projects or Python libraries. Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Must have: Testing, Python, Object-oriented programming, TDD, pytest, Design Patterns, Git, Agile, CI/CD
Nice to have: NumPy, SciPy, pandas, Matplotlib, Big data, PySpark
Daily tasks: - Develop and maintain a Python library for risk modelling.
– Implement and enhance test suites using best practices and pytest.
– Ensure adherence to OOP principles, SOLID guidelines, and code quality standards.
– Conduct code reviews and promote clean, pythonic code.
– Support users, gather requirements, and quickly prototype solutions.
– Work in an Agile environment with CI/CD practices.