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Asset Manager - Wind - London

Asset Manager - Wind - London

  • Location

    London

  • Sector:

    Renewable Energy

  • Salary:

    £40,000 - £45,000

  • Contact:

    Nathan Quinn

  • Contact email:

    nathan@greenrecruitmentcompany.com

  • Published:

    8 months ago

  • Expiry date:

    2022-03-11

  • Startdate:

    ASAP

  • Consultant:

    Nathan Quinn

The Opportunity 

A rare opportunity to join a renewable energy market leader in operation and construction.They are looking for a Wind Asset Manager to join their team in London. 

The Role

  • Be the first point of contact for a client portfolio
  • Carry out technical monitoring for wind farms (including high voltage)
  • Manage supplier and service-provider relations
  • Identify technical improvement solutions
  • Prepare technical reports for clients
  • Monitor contractual obligations: maintenance, insurance, Health and Safety …
  • Carry out from time to time external audits
  • As a Wind turbine expert, act as support for the rest of the Asset management team concerning wind turbine technical issues.
  • Develop new performance analysis
  • Be the day to day contact towards clients
  • Collaborate in Due Diligence

The Person 

  • Master’s degree in Electrical/Electrotechnical/Automatic Control Engineering and/or complemented by a renewable energy qualification.
  • Experience in wind energy advisory in the UK, wind farms performance reviews, due diligences . Detailed experience of reading and interpreting contracts and ensuring compliance is essential.
  • Detailed experience in the production of reports, ensuring consistent high standards is required with outstanding presentation skills.
  • More than five years’ experience in the renewable energy sector and more specifically in wind advisory. Any other sector skills or experiences over the ones specified above will be a plus (Wind/Solar yield assessment, Due Diligence, project development…).
  • We are looking for someone with good communications skills, analytical and proactive, to integrate the team. Good knowledge of Microsoft packages and other data analysis software.