Updated: 07 July 2026
Freelance | 8–20 hrs/week | Remote (EU/UK)

Are you an experienced M&A; consultant or deal advisor with a keen eye for logical inconsistencies and a deep understanding of the practicalities of mergers and acquisitions? Do you have 8 to 20 hours per week available alongside your core responsibilities or consulting projects? Join us to shape how AI understands, interprets, and applies M&A; expertise at scale.

About the Role
10x.team connects expert freelancers with leading AI labs building next-generation models. We are seeking experienced M&A; consultants based in the EU or UK to enhance the realism, technical accuracy, and actionable value of AI-powered M&A; systems.

What You Will Do
- Review and refine AI-generated outputs on M&A; topics, including deal sourcing, due diligence, transaction structuring, valuation, post-merger integration, and stakeholder management
- Evaluate AI responses for deal realism, sound reasoning, and direct applicability to M&A; scenarios




- Draft realistic M&A; case studies and negotiation scenarios informed by your direct deal experience
- Create alternative scenarios from perspectives such as buyer, seller, advisor, or board member
- Identify logic gaps, impractical responses, or oversights in AI-generated M&A; content

In simple terms:
You will review and improve AI-generated M&A; content to ensure it demonstrates authentic industry practice and robust commercial logic. Rather than conducting M&A; transactions, you’ll use your expertise to help AI systems deeply understand the complexities of real-world deals at scale.

Who You Are
- A senior-level M&A; consultant, deal advisor, investment banker, corporate development leader, or similar
- Based in and eligible to work in the EU or UK
- Several years of hands-on M&A; experience, including deal execution, structuring, negotiation, or integration
- Adept at identifying logical gaps, flawed assumptions, or unrealistic approaches in M&A; scenarios
- Comfortable working independen

📌 M&A Consultant (Madrid)
🏢 10x Team
📍 Madrid