Responsibilities

- Development and validation of quantitative models
- Efficient implementation in C++ and Python
- Industrialization of solutions (containerization, deployment, and maintenance)
- Collaboration with business and technology teams
- Performance optimization and scalability improvements

Requirements

- Degree in Engineering, Mathematics, Physics, Quantitative Finance, or a related field
- At least 6 years of experience in a similar role
- Docker and application containerization
- Production deployment of models and systems (CI/CD, testing, monitoring)
- C++ development (high performance, optimization)
- Python programming (data analysis, prototyping, quantitative libraries)
- Systems and API integration
- Practical knowledge of financial modelling (pricing, risk, simulations, etc.) is a plus
- Experience with tools such as Git, Docker, Artifactory, and Jenkins is a plus
- Experience with Kubernetes and cloud platforms (AWS, Azure, GCP) is a plus
- Experience in banking or financial consulting environments is a plus

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📌 Backend Engineer – Global Markets Risk (Madrid)
🏢 Jobtailor
📍 Madrid