Informacje o stanowisku
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
Join us as a Python Developer and shape the future of risk analytics!
Sounds like your kind of challenge?
What youll be doing
We are looking for a Python Developer to join a Kraków-based team working within the Global Risk Analytics (GRA) division. GRA is a global team responsible for developing risk models for a wide range of financial and operational risks. Our mission is to deliver cutting-edge tools that help identify, measure, and manage risk, ensuring enterprise-wide compliance.
In this role, you will collaborate closely with the Traded Risk Financial Engineering team, quantitative modellers, and IT specialists to build robust, scalable solutions that power risk management across the organization.
- Develop a quantitative library in Python for traded risk models.
- Implement risk model code based on proof-of-concept designs provided by modellers.
- Design and build a service layer to enable interaction between risk models and other microservices.
- Collaborate with quantitative modellers and IT teams to ensure technical alignment and seamless integration.
Note: Detailed project information will be shared during the recruitment process.
- Strong expertise in Python.
- Hands-on experience with NumPy and pandas.
- Solid understanding of algorithms and data structures.
- Knowledge of application life cycle and programming best practices.
- Ability to work on-site in Kraków at least once a week.
- English proficiency (spoken and written) at least B2 level.
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.
Tech Stack
Python | FastAPI | REST | GitHub | Jenkins | Docker | Redis | AWS | Kubernetes | Apache Airflow
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
Join us as a Python Developer and shape the future of risk analytics!
Sounds like your kind of challenge?
What youll be doing
We are looking for a Python Developer to join a Kraków-based team working within the Global Risk Analytics (GRA) division. GRA is a global team responsible for developing risk models for a wide range of financial and operational risks. Our mission is to deliver cutting-edge tools that help identify, measure, and manage risk, ensuring enterprise-wide compliance.
In this role, you will collaborate closely with the Traded Risk Financial Engineering team, quantitative modellers, and IT specialists to build robust, scalable solutions that power risk management across the organization.
- Develop a quantitative library in Python for traded risk models.
- Implement risk model code based on proof-of-concept designs provided by modellers.
- Design and build a service layer to enable interaction between risk models and other microservices.
- Collaborate with quantitative modellers and IT teams to ensure technical alignment and seamless integration.
Note: Detailed project information will be shared during the recruitment process.
,[Flexible cooperation model – choose the form that suits you best(B2B, employment contract, etc.), Hybrid work setup – hybrid: 1 day office / 4 days remote in Poland, 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: Python, Fast API, REST, GitHub, Jenkins, Docker, Redis, AWS, Kubernetes, Apache Airflow Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget, Small teams, Free coffee, Free snacks, In-house trainings, Modern office, No dress code.
Praca KrakówKraków - Oferty pracy w okolicznych lokalizacjach
