Responsibilities Design and implement sophisticated client segmentation models, automated recommendation engines, and dynamic pricing frameworks. Build, back-test, and deploy intelligent algorithms and predictive models to support automated execution and market-making strategies across FX products. Architect and deliver robust, low-latency analytical models directly into production-ready engines.

Collaborate closely with the FX Sales team and maintain continuous communication with data science and quant teams across geographies.

Requirements ~2–5 years of proven experience as a Data Scientist, Quantitative Researcher, or Algorithmic Trading Developer within financial markets. ~ Master’s or Bachelor's degree in Physics, Mathematics, Engineering,



Statistics, Computer Science, or a deeply quantitative field. ~ Strong mathematical foundations with valuable knowledge of stochastic processes, numerical methods, optimization, and machine learning architectures. ~ Solid understanding of financial markets and derivatives. ~ Advanced mastery of Python, PySpark, and SQL. ~ Hands‑on experience with Machine Learning libraries (TensorFlow, PyTorch, scikit‑learn) and cloud infrastructure within Amazon SageMaker. ~ Strong command of English and Spanish.

📌 Senior Quantitative Data Scientist - Advanced Analytics, Algorithmic Trading (Madrid)
🏢 Jobtailor
📍 Madrid