Senior Quantitative Data Scientist – Advanced Analytics, Algorithmic Trading

Jobtailor; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Jobtailor in Madrid seeks a data scientist/quant analyst to design segmentation models, predictive engines, and pricing frameworks for FX markets. You will build and deploy models into production and work with global quant teams.

The role requires 2–5 years in finance, advanced math, and strong Python, PySpark, SQL skills, plus experience with ML libraries and AWS SageMaker. Spanish and English proficiency is required.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

PySpark

SQL

Educación

Master’s or Bachelor’s degree in Physics, Mathematics, Engineering, Statistics, Computer Science, or a deeply quantitative field

Herramientas

TensorFlow

PyTorch

scikit-learn

Amazon SageMaker

Descripción del empleo

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.