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.

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