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

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