Hybrid Python Risk Systems Developer (Porto/Lisbon)

QUANTEAM (RAINBOW PARTNERS Group); Porto; Híbrido; EUR 25 000 - 48 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Academy access

Elevate Program

Consultant expert support

Resumo da oferta

QUANTEAM (RAINBOW PARTNERS Group) is seeking a Python Developer - Risk Systems to design, build and maintain scalable Python-based risk applications in a multinational setting.

You will work on core data integration and risk metric calculations, prototype new concepts, and drive quality through automated tests within a Scaled Agile environment. Hybrid role in Porto or Lisbon, Porto preferred.

Qualificações

• Proven Python software development experience.
• Strong knowledge of Python ecosystem and programming patterns.
• Experience with SQL and relational databases.
• Experience with unit/integration/end-to-end testing.
• Awareness of Agile or SAFe practices.

Responsabilidades

• Design, develop, and maintain efficient Python code.
• Contribute to data integration framework and risk metrics calculations.
• Prototype solutions to validate concepts and approaches.
• Identify bottlenecks and defects; implement fixes.
• Ensure performance, quality, scalability of applications.
• Develop automated tests and deliver incrementally.
• Collaborate with international, multicultural teams in a Scaled Agile environment.
• Support process automation and knowledge sharing initiatives.

Conhecimentos

Python

English fluency

Analytical thinking

Problem solving

Team collaboration

Ferramentas

Python

SQL

Unit testing

Git

Agile/SAFe

Descrição da oferta de emprego

QUANTEAM (RAINBOW PARTNERS Group) is seeking a Python Developer - Risk Systems to design, build and maintain scalable Python-based risk applications in a multinational setting.

You will work on core data integration and risk metric calculations, prototype new concepts, and drive quality through automated tests within a Scaled Agile environment. Hybrid role in Porto or Lisbon, Porto preferred.