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Investment Associate - Venture Capital (AI ML) London

Employer
twentyAI
Location
London, United Kingdom
Salary
Competitive Salary
Closing date
Feb 13, 2024

View more

Job Role
Other
Sector
Finance
Contract Type
Permanent
Hours
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.

Role

Responsibilities:


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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