Data Scientist, Parameta Solutions (Madrid)

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

Descripción de la vacante

Parameta Solutions, the Data & Analytics division of the TP ICAP Group, seeks a talented Data Scientist in Madrid to develop cutting-edge analytical and Generative AI solutions that drive commercial value. You will design, develop and deploy scalable data products and collaborate with Data Engineering, Product, Commercial and Technology teams to transform financial data into actionable insights.

The role emphasizes cloud technologies, AI capabilities and robust, scalable Python applications with

Formación

• Master's or PhD in Data Science, Mathematics, Computer Science, Engineering or another quantitative discipline.
• Proven experience developing production-grade Python applications within a data science, machine learning or quantitative analytics environment.
• Demonstrated software engineering fundamentals including object-oriented programming, modular design patterns and version control.
• Experience building and deploying analytical, machine learning or AI-driven solutions in a commercial environment.
• Advanced SQL skills with experience querying and manipulating large-scale datasets.
• Experience working with modern data and engineering platforms such as Snowflake, Airflow, Docker and CI/CD pipelines.
• Experience developing or integrating Generative AI, Large Language Model (LLM) or machine learning solutions.
• cloud-based ar

Responsabilidades

• Design, develop and maintain robust Python-based applications for financial data analysis, transformation, enrichment and automation.
• Build scalable data science solutions that extract actionable insights from large and complex financial datasets.
• Develop interactive dashboards, monitoring frameworks and visualisation tools to support strategic and operational decision-making.
• Enhance, support and continuously improve existing data applications, data quality frameworks and analytical platforms.
• Collaborate with Data Engineers, Product Managers and commercial stakeholders to ensure the scalability, reliability and usability of data products and models.
• Apply software engineering best practices, including modular development, code reviews, automated testing, version control and CI/CD methodologies.
• Design, develop and maintain Generative AI solutions that enhance internal processes, analytical capabilities and customer-facing products.
• Leverage AWS cloud technologies and services to build scalable AI and machine learning applications, making full use of innovative capabilities available through our strategic AWS partnership.
• Evaluate emerging AI, machine learning and data science technologies, identifying opportunities to improve products, processes and client outcomes.
• Contribute to the ongoing evolution of Parameta Solutions' data science and AI capabilities, helping establish best practices and technical standards across the team.

Conocimientos

Python

Data science

OOP & design patterns

ML solutions

SQL

Cloud platforms

Generative AI

CI/CD

Educación

Master's or PhD in Data Science, Mathematics, Computer Science, Engineering or another quantitative discipline

Herramientas

Snowflake

Airflow

Docker

CI/CD

Descripción del empleo

The TP ICAP Group is a world leading provider of market infrastructure.

Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.

Through our people and technology, we connect clients to superior liquidity and data solutions.

The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.

Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist.

About Parameta Solutions

Parameta Solutions is the Data & Analytics division of TP ICAP Group. The business provides clients with unbiased OTC content and proprietary data, in-depth insights across price discovery, risk management, benchmark and indices, and pre and post-trade analytics. Its post-trade solutions offering helps market participants control their counterparty and regulatory risks through a growing range of tools that manage balance-sheet exposure, as well as compression and optimisation services. The Data & Analytics division includes the following brands: Tullett Prebon Information, PVM Data Services, ICAP Information and Burton-Taylor Consulting.

Role Overview

We are on a mission to harness the power of data and artificial intelligence to shape the next generation of financial intelligence solutions. As we continue to expand our Data Science capability, we are seeking a talented and innovative Data Scientist to develop cutting‑edge analytical and Generative AI solutions that drive commercial value across our business.

Based in Madrid and working within Parameta Solutions, you will play a key role in designing, developing and deploying scalable data products that transform complex financial data into actionable insights. Working closely with Data Engineering, Product, Commercial and Technology teams, you will leverage advanced analytics, cloud technologies and Generative AI capabilities to support the evolution of our data-driven product suite.

This is an exciting opportunity to contribute to a rapidly growing function at the forefront of financial data innovation, helping to shape the future of analytics, intelligence and AI‑powered solutions across the organisation.

Role Responsibilities

• Design, develop and maintain robust Python‑based applications for financial data analysis, transformation, enrichment and automation.
• Build scalable data science solutions that extract actionable insights from large and complex financial datasets.
• Develop interactive dashboards, monitoring frameworks and visualisation tools to support strategic and operational decision‑making.
• Enhance, support and continuously improve existing data applications, data quality frameworks and analytical platforms.
• Collaborate with Data Engineers, Product Managers and commercial stakeholders to ensure the scalability, reliability and usability of data products and models.
• Apply software engineering best practices, including modular development, code reviews, automated testing, version control and CI/CD methodologies.
• Design, develop and maintain Generative AI solutions that enhance internal processes, analytical capabilities and customer‑facing products.
• Leverage AWS cloud technologies and services to build scalable AI and machine learning applications, making full use of innovative capabilities available through our strategic AWS partnership.
• Evaluate emerging AI, machine learning and data science technologies, identifying opportunities to improve products, processes and client outcomes.
• Contribute to the ongoing evolution of Parameta Solutions' data science and AI capabilities, helping establish best practices and technical standards across the team.

Experience / Competences

Essential

• Master's or PhD in Data Science, Mathematics, Computer Science, Engineering or another quantitative discipline.
• Proven experience developing production‑grade Python applications within a data science, machine learning or quantitative analytics environment.
• Demonstrated software engineering fundamentals including object‑oriented programming, modular design patterns and version control.
• Experience building and deploying analytical, machine learning or AI‑driven solutions in a commercial environment.
• Advanced SQL skills with experience querying and manipulating large‑scale datasets.
• Experience working with modern data and engineering platforms such as Snowflake, Airflow, Docker and CI/CD pipelines.
• Experience developing or integrating Generative AI, Large Language Model (LLM) or machine learning solutions.
• Demonstrated understanding of cloud‑based ar