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.#J-18808-Ljbffr

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