Tech M&A Associate β€” London, High-Impact Deals

Tech M&A Associate β€” London, High-Impact Deals

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
TD Bank Group

At a Glance

  • Tasks: Execute high-impact M&A deals and provide strategic advisory in the tech sector.
  • Company: Join TD Securities, a leading firm in technology investment banking.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Direct client interaction and significant deal experience await you.
  • Why this job: Be at the forefront of tech deals and make a significant impact in the industry.
  • Qualifications: 3-5 years in investment banking or corporate finance with strong modelling skills.

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

TD Securities in London is seeking an Associate to join its Technology Investment Banking team.

You will contribute to the execution of M&A, strategic advisory and capital raising across software, fintech, data analytics and related tech sectors, with direct client interaction and significant deal experience.

Ideal candidates have 3–5 years of investment banking or corporate finance experience, strong modelling and communication skills, and a Bachelor's degree.

#J-18808-Ljbffr

Tech M&A Associate β€” London, High-Impact Deals employer: TD Bank Group

TD Securities is an exceptional employer, offering a dynamic work environment in London that fosters professional growth and development. With a strong commitment to employee well-being, our Total Rewards package includes comprehensive health benefits, career advancement opportunities, and a culture that values diversity and inclusion. Join us to be part of a team that prioritises meaningful client relationships and encourages you to unlock your full potential.

TD Bank Group

Contact Details:

TD Bank Group Recruitment Team

We think you need these skills to ace Tech M&A Associate β€” London, High-Impact Deals

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