Lead Python Developer

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. The role is within the Financial Engineering unit of Global Risk Analytics (GRA), part of the Model Enablement team collaborating with Wholesale Credit Risk modellers to drive adoption of toolkits for credit risk model development.

• Senior-level experience in building and testing Python applications in a professional environment.
• Previous experience leading development teams.
• Strong understanding of coding and code review best practices.
• Ability to write Pythonic code with a strong eye for code quality and efficiency.
• Proficient with Git version control and Agile development practices.
• Experience with CI/CD methodologies.

Nice to have:

• MSc or PhD in Computer Science, Mathematics, Physics, Operations Research, or related technical fields.
• Knowledge of risk analytics and financial modelling.
• Experience with scientific stack (NumPy, SciPy, pandas, polars, Matplotlib).
• Familiarity with Big Data tools such as PySpark.
• Experience working with Docker, Kubernetes, and Jenkins.
• Background in developing open-source tools or Python libraries.

• Contribute to the design and development of the credit risk modelling toolkit.
• Ensure proper and efficient toolkit usage and gather feedback for continuous improvements.
• Collaborate directly with end users to understand and implement requirements.
• Develop and maintain a large-scale Python library and robust testing suites.
• Lead and mentor a team of developers, managing project portfolios and deliverables.
• Engage with senior non-technical stakeholders, ensuring alignment and transparency.
• Drive accelerated prototype development impacting global risk analysis and measurement.

#LI- Hybrid (1 day Office / 4 days Remote)