AI-Powered M&A Presentation Analyst

AI-Powered M&A Presentation Analyst

Full-Time 50000 - 60000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Create and refine AI-generated presentations for M&A projects using your expertise.
  • Company: Join a leading AI lab in the UK, shaping the future of M&A.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on collaboration and creativity.
  • Why this job: Be at the forefront of AI innovation while making impactful contributions to M&A.
  • Qualifications: 2+ years in M&A at top firms with strong presentation skills.

The predicted salary is between 50000 - 60000 Β£ per year.

Ethos in the United Kingdom is partnering with a leading foundational AI lab to recruit experienced M&A execution analysts from top firms to train their language model on professional presentations and slide decks.

We seek candidates with 2+ years at a bulge bracket or elite boutique who can create, evaluate and refine AI-generated decks across storylines, executive summaries, slide structuring and data-driven exhibits for client-ready deliverables.

AI-Powered M&A Presentation Analyst employer: Ethos

Ethos is an exceptional employer that prioritises both technical excellence and personal wellbeing, making it an ideal place for a Senior Mechanical Design Engineer to thrive. With a flexible working model, including Flexible Fridays and a 9-day fortnight, employees enjoy a healthy work-life balance while benefiting from clear progression pathways and opportunities for professional development. The Birmingham hub offers a collaborative environment where you can work alongside experienced engineers on cutting-edge data centre projects across the EMEA region.

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Contact Details:

Ethos Recruitment Team

We think you need these skills to ace AI-Powered M&A Presentation Analyst

M&A Execution
AI Model Training
Presentation Design
Slide Deck Creation
Storyline Development
Executive Summary Writing
Data Analysis