Python Risk Systems Engineer — Data & Finance

Quanteam (Groupe Rainbow Partners); Braga; Híbrido; EUR 25 000 - 48 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

23 days annual leave

Quanteam Academy access

Elevate Program

Consultant Expert support

Resumo da oferta

Quanteam, founding entity of RAINBOW PARTNERS, is seeking a Python Developer – Risk Systems to design, develop and maintain scalable Python solutions for financial risk systems. The role involves building a core framework for data integration, calculating market and counterparty risk metrics, and delivering incremental applications in a global, agile setup with English fluency.

Hybrid work is available in Porto or Lisbon, with a preference for Porto.

Qualificações

• Proven Python software development experience.
• Strong knowledge of Python ecosystem, architecture and best practices.
• Solid understanding of object-oriented and functional programming.

Responsabilidades

• Design, develop and maintain efficient, reusable Python code.
• Develop a core framework for data integration and risk metrics calculation.
• Prototype solutions to validate new concepts and approaches.
• Identify performance bottlenecks and fix defects.
• Ensure performance, quality, scalability and responsiveness of applications.
• Develop automated tests (unit, integration and end-to-end).
• Deliver applications incrementally aligned with evolving business requirements.
• Collaborate with international teams in a Scaled Agile environment.
• Contribute to innovation initiatives in automation, AI and development practices.

Conhecimentos

Python

SQL

Unit tests

SAFe

English

Descrição da oferta de emprego

Quanteam, founding entity of RAINBOW PARTNERS, is seeking a Python Developer – Risk Systems to design, develop and maintain scalable Python solutions for financial risk systems. The role involves building a core framework for data integration, calculating market and counterparty risk metrics, and delivering incremental applications in a global, agile setup with English fluency.

Hybrid work is available in Porto or Lisbon, with a preference for Porto.