Livestock Computable general equilibrium (CGE) Modeler

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• FAO is committed to achieving workforce diversity in terms of gender, nationality, background and culture.
• Qualified female applicants, qualified nationals of non-and under-represented Members and person with disabilities are encouraged to apply;
• Everyone who works for FAO is required to adhere to the highest standards of integrity and professional conduct, and to uphold FAO's values
• FAO, as a Specialized Agency of the United Nations, has a zero-tolerance policy for conduct that is incompatible with its status, objectives and mandate, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination　　
• All selected candidates will undergo rigorous reference and background checks
• All applications will be treated with the strictest confidentiality

FAO’s commitment to environmental sustainability is integral to our strategic objectives and operations.

Organizational Setting

The Animal Production and Health Division (NSA) assists FAO members in the development of sustainable livestock systems. It hosts intergovernmental bodies, multi-stakeholder initiatives and knowledge networks that provide information and technical and policy support to development efforts, including emergency preparedness and response. The Division has expertise in animal health (One Health), animal production and genetics, and livestock sector analysis and policy. The assignment is within the Livestock Innovation, Climate and Post-harvesting Solutions Branch (NSAL), which conducts policy analyses to support technical and policy interventions aimed at achieving sustainable livestock development across social, economic, and environmental dimensions. The incumbent will work within the Livestock Policy Lab (LPL) that provides high-quality, evidence-based analytical support to national, regional, and global policy processes and initiatives focused on sustainable livestock transformation.

Reporting Lines

Under the overall supervision of the Chief, NSAL, the direct supervision of the LPL Policy Officer and in collaboration with FAO colleagues, the incumbent will contribute to FAO Strategic Objectives.

Technical Focus

The incumbent will lead economic analyses with a primary focus on applying a Computable General Equilibrium (CGE) model to assess pathways for the sustainable transformation of the livestock sector. The ideal candidate will have demonstrated expertise in developing and applying CGE models in agriculture, environmental, or related policy contexts, particularly in evaluating economy-wide impacts of productivity shifts, environmental regulations, and macroeconomic policy changes. Experience with complementary quantitative tools, such as econometric analysis, cost-benefit analysis, and marginal abatement cost assessment, is a plus. The candidate should be skilled in designing sound empirical strategies, interpreting complex model results, and clearly communicating findings to both technical and policy audiences. This analytical work will inform sectoral strategies, guide investment planning, and support evidence-based policymaking for sustainable development in the livestock sector.

Tasks and responsibilities

Consultant/PSA subscribers will\:

• Develop, calibrate, and apply CGE models to simulate the economy-wide impacts of agricultural, environmental, and livestock-related policies.
• Work with multi-sectoral datasets, including Social Accounting Matrices (SAMs), Input-Output tables, livestock health data, and environmental indicators.
• Integrate livestock production systems, environment, and health dynamics, such as antimicrobial resistance, disease outbreaks, and methane emissions into CGE modeling framework.
• Translate model outputs into policy-relevant insights, contributing to evidence-based policy formulation in livestock and agrifood sectors.
• Produce technical reports, peer-reviewed publications, and policy briefs to inform decision-making.
• Provide additional analytical or technical support as required, in line with evolving project needs and priorities.

CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING

Minimum Requirements depending on the profile and orientation

• Advanced university degree in economics, agricultural economics, environmental economics, development economics, or a closely related field, with a strong background in quantitative policy analysis.
• At least 2 years of relevant experience in CGE modeling, ideally with practical applications in agriculture, environment, or related sectors.
• Demonstrated proficiency in the use of GAMS for CGE modelling and simulation.
• Working knowledge of English (Level C)

FAO Core Competencies

• Results Focus
• Teamwork
• Communication
• Building Effective Relationships
• Knowledge Sharing and Continuous Improvement

Technical/Functional Skills

• Broad experience in developing and applying CGE models for economic policy and scenario analysis.
• Understanding of livestock systems, including feed use, emissions, trade dynamics, and disease resilience.
• Skilled in analyzing economic and environmental impacts of livestock production and trade policies, including simulating policy shocks (e.g., subsidies, disease control, trade restrictions) on productivity and markets.
• Proficient in constructing and adjusting SAMs, and integrating multi-source data (livestock, trade, household) into economic models.
• Advanced use of GAMS and familiarity with R, Python, or Stata is a plus.
• Experience in analytical writing supported by a publication record in peer review journals.

Please note that all candidates should adhere to FAO Values of Commitment to FAO, Respect for All and Integrity and Transparency

HOW TO APPLY

• To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, and language skills
• Candidates are requested to attach a letter of motivation to the online profile
• Once your profile is completed, please apply, and submit your application
• Candidates may be requested to provide performance assessments and authorization to conduct verification checks of past and present work, character, education, military and police records to ascertain any and all information which may be pertinent to the employment qualifications
• Incomplete applications will not be considered
• Personal information provided on your application may be shared within FAO and with other companies acting on FAO’s behalf to provide employment support services such as pre-screening of applications, assessment tests, background checks and other related services. You will be asked to provide your consent before submitting your application. You may withdraw consent at any time, by withdrawing your application, in such case FAO will no longer be able to consider your application
• Only applications received through the FAO recruitment portal will be considered
• Your application will be screened based on the information provided in your online profile
• We encourage applicants to submit the application well before the deadline date.

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