Finance and Capital Markets Expert
Organizational Context
The United Nations Development Programme (UNDP), established in 1965, is the UN's global development network operating in nearly 170 countries. Its mission is to eradicate poverty, reduce inequalities, and build resilience. The Istanbul Regional Hub (IRH) serves as UNDP's knowledge and advisory center for the Europe and Central Asia region, focusing on green growth, decarbonization, and sustainable development goals.
Job Purpose
The UN Volunteer will join the UNDP RBEC Chief Economist Team at the Istanbul Regional Hub, contributing to the region's green growth agenda. This role involves supporting the team's analytical and statistical work on decarbonization and green skills, particularly in light industry, to foster a low-carbon economy and advance Sustainable Development Goals. The volunteer will assist in producing knowledge products, conducting data analysis, and formulating policy recommendations for UNDP's regional programming, gaining valuable exposure to economic analysis and policy work in an international setting with mentorship from senior economists.
Responsibilities
The UN Volunteer will conduct quantitative financial analysis and research, including equity research and the application of quantitative methods for forecasting and risk assessment. Responsibilities include developing and maintaining financial models and dashboards in Excel for KPI tracking, portfolio allocation, and stress-testing to support investment decisions. The role involves preparing decision-support reports, technical notes, and market briefs by integrating macroeconomic signals, fundamental analysis, and market sentiment. Additionally, the volunteer will synthesize complex data into actionable insights for internal stakeholders, draft analytical briefs, and create presentations. Collaboration with internal teams to translate analytical outputs into programmatic adjustments and presenting financial findings in virtual meetings are also key duties.
Work Experience
Required experience includes demonstrated expertise in financial analysis, such as equity research, financial statement analysis, and valuation. Proven ability in developing complex financial models and dashboards using Advanced Excel is essential. Familiarity with project management principles and experience in project delivery and reporting is advantageous. Proficiency in Python for data analysis and machine learning is highly desirable, as is experience with time-series forecasting.
Skills
Key skills include strong quantitative financial analysis, financial modeling, and scenario analysis. Proficiency in Advanced Excel is required, with desirable skills in Python for data analysis and machine learning. A solid understanding of capital market instruments is necessary. Excellent communication skills are needed to translate complex analytical outputs into clear, actionable insights for diverse stakeholders. Familiarity with project management principles is an advantage.