Senior Quantitative Data Scientist — FX & Predictive Models

BBVA; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

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.

Qualifications

• 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.

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.

Skills

Python

PySpark

SQL

Education

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

Tools

TensorFlow

PyTorch

scikit-learn

Amazon SageMaker

Job description

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.