UN Volunteer - Economic Affairs

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Position Title: UN Volunteer - Economic Affairs
Location: Beirut
Country: Lebanon
Deadline Date:

Job Details

Job Posting Organization:
The Economic Commission for Western Asia (ECWA) was established on 9 August 1973, following the Economic and Social Council’s resolution 1818 (LV). The mission of ECWA is to stimulate economic activity in its member countries, strengthen cooperation among them, and promote development. The organization aims to support economic and social development, encourage regional integration, and raise global awareness of the circumstances and needs of its member countries. ECWA provides a framework for the formulation and harmonization of sectoral policies, serves as a platform for congress and coordination, and acts as a hub for expertise and knowledge. Its activities are coordinated with various divisions and main offices of the United Nations, specialized agencies, and regional organizations, including the League of Arab States and the Gulf Cooperation Council. ECWA plays a crucial role in fostering collaboration and sharing best practices among its member states to achieve sustainable development goals.

Job Overview:
The UN Volunteer position focuses on leveraging machine learning techniques to support the Economic Commission for Western Asia in projecting nationally determined priorities and financing channels for its member states by 203

• The role involves employing advanced modeling techniques, such as Long-Short Term Memory (LSTM), to analyze and project financing flows at the national level. The volunteer will also be responsible for collecting and analyzing socioeconomic data, conducting research on financing issues, and preparing various analytical documents and presentations. This position is critical in supporting the implementation of the 2030 Agenda for Sustainable Development and addressing the challenges associated with financing for development.

Duties and Responsibilities:
The UN Volunteer will undertake a variety of tasks, including:

• Leveraging machine learning techniques to project nationally determined priorities for ESCWA member states by 203
• Employing or building Long-Short Term Memory (LSTM) models to project prime financing channels at the national level.
• Developing a nowcasting dynamic model to capture prime financing flows in ESCWA member states.
• Collecting data and conducting research on socioeconomic and financing issues relevant to member states.
• Compiling, analyzing, and cleaning datasets to ensure data integrity and usability.
• Preparing tables, lists, charts, and generating graphs, figures, and fact sheets on various aspects of financing for development.
• Supporting the drafting and updating of documents and analytical summaries related to financing.
• Assisting in the preparation of literature reviews, research papers, and presentations to communicate findings effectively.

Required Qualifications:
Candidates should possess strong analytical skills, particularly in data analysis and machine learning techniques. Familiarity with socioeconomic research and financing issues is essential. The ability to work collaboratively in a team environment and communicate effectively with diverse stakeholders is also required. Proficiency in data visualization tools and software is advantageous, as is experience with programming languages commonly used in data analysis, such as Python or R.

Educational Background:
A degree in economics, finance, data science, statistics, or a related field is required. Advanced degrees or specialized training in machine learning or data analysis would be beneficial and may enhance a candidate's qualifications for this position.

Experience:
Candidates should have a demonstrated background in data analysis, machine learning, or related fields. Experience working with socioeconomic data and familiarity with financing for development issues will be considered an asset. Previous experience in a research or analytical role, particularly within an international organization or governmental agency, is highly desirable.

Languages:
Fluency in English is mandatory, as it is the working language of the organization. Knowledge of Arabic or French would be considered an asset, as it would facilitate communication with member states and enhance the volunteer's ability to engage with diverse stakeholders.

Additional Notes:
This position is a volunteer role under the auspices of the United Nations, and it may involve a commitment of full-time hours. The duration of the contract and specific terms of engagement will be discussed during the application process. The role may involve working in an international context, and candidates from various backgrounds are encouraged to apply.