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Investment Associate - Venture Capital (AI ML) London

London, United Kingdom
Competitive Salary
Closing date
Feb 13, 2024

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Job Role
Contract Type
Full Time
The business is looking to bolster the fund and hire someone to work alongside another Investment Manager as a team of two. They need an individual who can confidently and autonomously execute a number successful, well considered, exciting investment opportunities.

The business is ideally looking for an individual with a background in big tech or tech start ups. Strong technical accumen with machine learning or AI tools, with a combination of operational and investments experience is highly desirable.



Deal sourcing and execution:
  • Work with the existing team to develop venture investment / sector thesis’, keeping abreast of AI trends across various industries.
  • Sourcing investment deals through established and new relationships.
  • Conduct technical due diligence, leveraging your technical expertise.
  • Organize additional internal due diligence process, leveraging AI/ML/technology expertise within the business
  • Negotiate term sheets and investment offers.
  • Co-ordinate deal execution with existing venture team members, in-house legal and finance teams.

Portfolio management (Ventures and Strategic Investments):
  • Working closely with the leadership of portfolio companies on business strategy, operations, and growth.
  • Attending board meetings as an observer.
  • Connecting companies to experts within and outside of the business.
  • Assisting with next stage fundraising or exits (connecting to investors, validating materials).
  • Tracking exercise of any investments involving optionality, such as convertible notes or warrants preparing summaries or recommendations for the Investment Committee.
  • Obtaining key performance metrics for internal monthly Operating Committee.

Role Requirements:
  • Must have a top tier degree from a reputable university (in a related field is desirable)
  • Minimum of 2/3 years experience in a highly technical role (this could be from a range of disciplines such as data science, machine learning/AI investments, early stage scale up investor etc)
  • The successful hire will ideally have a blend of technical and investments expertise and will be able to advise businesses on ML strategy/platform build-outs, with the commercial acumen necessary to scale.
  • Must be a very effective communicator and able to build relationships with a range of senior individuals up to and including board level.

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