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 (España)
🏢 Cv-Library
📍 España