Consultant – Climate Action at Bioversity International

• Support on a variety of projects related to farmer behavior, agribusiness finance, agriculture risk management and insurance within the Behavioral Optimization and Private Sector Support team of The Alliance Bioversity International – CIAT. 

Specific Responsibilities, Outputs, and Timelines  

The consultant will be called upon to: -

• Lead engagement with Innovation Packages and Scaling Readiness (IPSR) and OneSF on behalf of the CGIAR Food Systems Accelerator and other projects.
• Engage in the day-to-day management of project activities.  
• Conduct technical development of data collection instruments, literature reviews, whitepapers, slide decks and other presentation materials.
• Conduct technical reviews of project outputs and development to provide creative solutions to engagements. 
• Manage projects toward timelines for deliverables and reports.  
• Present at relevant forums including conferences, networking events, or client meetings. 
• Attend relevant internal brainstorm sessions.  
• Perform any other duty as may be assigned by the project supervisor. 
• Travel up to one time per month.

Consultants are required to finance travel and request reimbursements at the conclusion of trips.

Outputs & Deliverables 

The Consultant will deliver on specific tasks requested by the team:

• Provide context and overall guidance on the purpose and expectations for the assignment. 
• Provide feedback and any necessary further direction. 
• Liaise regularly with the consultant as needed for the duration of the project.  

Requirements

• Master’s degree in social science Field or Business, with preference for economics or political economy.
• At least 4 years of previous work experience in agriculture, agriculture economics, natural resource economics, development economics or behavioral economics, with experience managing large scale research and consulting projects in developing countries. 
• Strong qualitative, quantitative, research, and data analytic skills.
• Experience in data analysis, including knowledge of and experience working with software such as R, Python, Matlab or Stata.
• Ability to quickly understand and adapt to new contextual situations.  
• Ability to manage high-level relationships with partner organizations.
• Excellent project management and organizational skills.
• Flexible, self-motivating, able to manage multiple tasks efficiently, and a team player.
• Interest and experience working in a fast-paced team within a large research institution.
• Fluency and excellent communication and writing skills with a mastery of English. 
• Experience with agriculture risk management frameworks or risk modeling for credit or insurance is preferred but not required.