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 (Comunidad de Madrid)
🏢 Bbva
📍 Comunidad de Madrid