Intern – Biodiversity Finance at United Nations Environment Programme (UNEP)

Under the direct supervision of the GEF Biodiversity Task Manager, the intern will assist the Biodiversity Finance Working Group. More specifically, the internship will have the following tasks:

• Support to perform methodological research and analysis from diverse sources on nature and finance-related themes especially around metrics, indicators, and data.
• Assist in monitoring of academic publications on related themes and convert these into digestible highlights for the Biodiversity Finance Working Group.
• Assist the Task Manager in drafting targeted presentations, briefing notes and speaking points based on the Working Group’s findings.
• Provide support for the coordination, administrative and communications support for the operations of the working group for example scheduling meetings, sharing documentation with members, maintaining the Working Group’s Intranet page, organizing and minuting meetings,
• Assist to liaise with relevant in-house and external partners as necessary or requested by the team.
• Attend the meetings, trainings and conferences of relevance to UNEP in Geneva.
• Performing other relevant duties as assigned.

Qualifications/special skills

• Applicants must at the time of application meet one of the following requirements:
• Be enrolled in a graduate school programme (second university degree or equivalent, or higher) preferably in the area of a relevant domain and experience with AI tools or technologies is required: Please describe your experience working with AI tools or technologies. Include specific examples of projects, platforms, or tools you have used, and your role in those initiatives.
• Research and analysis skills is required : Have you conducted research or written reports on emerging technologies, digital trends, or AI-related topics?
• Be enrolled in the final academic year of a first university degree program (minimum Bachelor's level or equivalent);
• Have graduated with a university degree and, if selected. For this internship, any relevant academic and/or practical experience with data compilation, data analysis, data dissemination and visualization and/or mapping of numeric analysis is desirable.