AI builder en Madrid, España

AI Builder, Alternative Financing

Location: Madrid (hybrid)

The Opportunity

A Madrid-based financing platform, backed by the European Investment Fund, connects companies and infrastructure projects with more than 400 institutional investors across 22 countries.

The model already works. The next step is to make the analysis, presentation, and distribution of every debt transaction run through a product rather than through team hours.

They are looking for two people who understand debt from the inside and know how to build.

The Impact You Will Have

• Turn the analysis and structuring of €5–75 million transactions into methodologies and tools that the team uses every day.
• Design, using AI and automation , the entire journey of a transaction, from borrower to investor.
• Lead the operations behind these tools, not just deliver them.
• Work closely with the founders.
• Influence how European mid-market companies are financed, particularly in renewable energy, data centres, and industry.

What Does Success Look Like?

• You have a strong command of credit , including analysis, project or structured finance, debt advisory, or rating.
• You are a builder: Python, modelling, automation, and AI tools are part of the way you work, even if you are not a career developer.
• You can turn a manual process into a system that works without you .
• You combine analytical rigour with product instinct .

What Is Offered?

A role that does not really exist in a bank or rating agency: real ownership of product and operations from day one , direct exposure to institutional investors and the founders, and a career path tied to what you build.

Who Are We?

Executive Integrity is a global executive search and recruitment consultancy focused on building a more sustainable world, with a particular focus on talent within the Maritime and Renewable Energy sectors .

We donate a portion of our profits to Renewable World , a charity that develops affordable and innovative renewable energy solutions for communities affected by poverty.