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