Data Scientist, Parameta Solutions (Madrid)

TP ICAP Group; Madrid; Híbrido; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

TP ICAP Group seeks a Data Scientist in Madrid to develop high-impact data applications for financial decision-making. You will collaborate with cross-functional teams to enhance existing solutions and design new ones using your expertise in Python and data analysis.

Formación

• Proven experience as a Python Developer with strong fundamentals.
• Solid SQL skills and experience with large-scale datasets.
• Experience with data-related tools like Airflow and Docker.

Responsabilidades

• Design and develop Python applications for financial data analysis.
• Build dashboards to visualize key metrics.
• Enhance existing data applications and collaborate with teams.

Conocimientos

Problem-solving

Collaboration

Software engineering fundamentals

SQL skills

Educación

Master’s or PhD in Data Science, Mathematics, Computer Science, Engineering

Herramientas

Airflow

Snowflake

Docker

CI/CD workflows

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.

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’re on a mission to harness data to power the next generation of financial decision-making tools. As we continue to grow, we’re seeking a passionate and capable Data Scientist to develop scalable, high-impact data applications that influence strategy across the firm.

As a key contributor to our growing Data Science team, you’ll build and enhance data-driven Python applications that unlock insights from vast and complex financial datasets. Working alongside data engineers, product managers, and commercial teams, your work will help shape the future of our analytics and product offerings.

Role Responsibilities

• Designing and developing robust Python applications for financial data analysis, transformation, and enrichment.

• Building dynamic dashboards and monitoring tools to visualize key metrics and support business decision-making.

• Enhancing and supporting a suite of existing data applications and quality control systems.

• Collaborating across teams to ensure data integrity, scalability, and usability of models and pipelines.

• Applying software engineering best practices including modular design, testing, and CI/CD processes.

Experience / Competences

Essential

• Master’s or PhD in Data Science, Mathematics, Computer Science, Engineering or a related quantitative field.

• Proven experience as a Python Developer with strong software engineering fundamentals (OOP, modular design).

• Solid SQL skills and experience with large-scale data sets.

• Experience with tools such as Airflow, Snowflake, Docker, and CI/CD workflows.

• Strong problem-solving ability and a collaborative mindset.

Desired

• Industry experience in a computational or quantitative data science role.

• Experience working closely with cross-functional teams including engineering, product, and commercial teams.

• Familiarity with cloud platforms (AWS, Azure, or GCP).

• Exposure to machine learning, generative AI, or similar advanced analytics tools.

Role Band & Level

• Professional / 5

#PARAMETA #LI-ASO #LI-Hybrid

Not The Perfect Fit?

Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.

Company Statement

We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.

Location

Spain - Paseo de la Castellana - Madrid