Responsibilities

A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. ¡Mucha suerte!

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- 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

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- 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. xqbhyrx

- Strong command of English and Spanish.

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