Investment Banking Associate - TMT - Elite Boutique

JR United Kingdom; Liverpool; On-site; GBP 45,000 - 70,000; Full time

Job summary

An Elite Boutique firm seeks an Associate for its TMT M&A team in Liverpool. This role entails working on high-profile transactions, requiring 3 to 5 years of relevant experience from prestigious firms. Ideal candidates will have exceptional educational qualifications and facilitative skills. A passion for the TMT sector is essential.

Qualifications

• 3 to 5 years of M&A transaction experience, preferably from a bulge bracket or elite boutique.
• Strong educational background required.

Responsibilities

• Assisting in the execution of TMT mandates.
• Preparing marketing pitch-books and related materials.
• Gathering public information from various sources.
• Creating valuation models and conducting benchmark analyses.

Skills

M&A transaction experience

Fluent language skills

Education

Undergraduate degree

Job description

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Client:

Robertson Wright

Location:

liverpool, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

We are currently working on an exciting opportunity with a client looking to hire an Associate for their TMT M&A team. The firm is an Elite Boutique with a strong market reputation.

The ideal candidate will have 3 to 5 years of M&A transaction experience, preferably from a bulge bracket or elite boutique. Candidates from overseas platforms with proven M&A background and fluent language skills will also be considered.

This role offers the chance to work on high-profile transactions within a renowned platform. Sector expertise in TMT is preferred, but a strong desire to work in TMT is also acceptable. An excellent education and undergraduate degree are required.

The responsibilities include:

• Assisting in the execution of TMT mandates
• Preparing marketing pitch-books and related materials
• Gathering public information from various sources
• Creating valuation models and conducting benchmark analyses