Lead Python Developer at Mindbox Sp. z o.o. – Kraków | Jobyssey

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

We are looking for a Lead Python Developer to join the Financial Engineering unit within Global Risk Analytics (GRA). This role is part of the Model Enablement team, which collaborates closely with Wholesale Credit Risk modellers and drives adoption of toolkits for credit risk model development.

The position involves building and improving Python-based platforms, contributing to the development of large libraries and testing frameworks, and ensuring efficient workflows and consistent implementation of risk models globally. You will also be responsible for optimizing model deployment processes and streamlining operations to reduce cost, time, and risk.

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

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.

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 Skills

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.

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