London Industrials M&A Associate β€” Deal Execution

London Industrials M&A Associate β€” Deal Execution

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Dartmouth Partners

At a Glance

  • Tasks: Lead M&A advisory and deal execution in the dynamic Industrials sector.
  • Company: Join a prestigious tier 1 investment bank in London.
  • Benefits: Competitive salary, high-intensity learning, and career advancement opportunities.
  • Other info: Experience a vibrant culture with exceptional growth potential.
  • Why this job: Be at the forefront of impactful deals in a fast-paced environment.
  • Qualifications: 3+ years in M&A, strong financial modelling, and resilience required.

The predicted salary is between 63000 - 77000 Β£ per year.

Dartmouth Partners is assisting a tier 1 bulge bracket investment bank in London to hire an Investment Banking Associate for the Industrials M&A team.

The role focuses on mergers and acquisitions advisory and deal execution within Industrials.

Requirements include 3+ years in M&A, strong financial modelling, valuation proficiency, and resilience.

London-based, with expectations of high-intensity execution and learning in a prestigious environment.

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London Industrials M&A Associate β€” Deal Execution employer: Dartmouth Partners

Dartmouth Partners is an exceptional employer, offering a dynamic work environment where investment professionals can thrive. With a strong focus on employee development and collaboration, the company provides ample opportunities for growth while working closely with management teams and private equity sponsors in the UK. Located in a vibrant financial hub, employees benefit from a culture that values innovation and excellence, making it a rewarding place to advance your career in finance.

Dartmouth Partners

Contact Details:

Dartmouth Partners Recruitment Team

We think you need these skills to ace London Industrials M&A Associate β€” Deal Execution

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Automation
Python
Data Engineering