Quantitative Data Scientist

Comunidad de Madrid

Municipality of Madrid, Spain

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English, Spanish

Experience level

Intermediate

Municipality of Madrid, Spain

Algorithmic Trading

Cloud Computing

Python

Machine Learning

Recommender Systems

TensorFlow

SQL Databases

PyTorch

PySpark

Scikit Learn

Information Technology

Software Library

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.

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.