Ability to work across the full data lifecycle - data collection, cleaning, analysis, and visualization - to produce polished tables, charts, and modeling outputs, with a demonstrated capacity to identify data gaps and develop pragmatic solutions or assumptions (for example working with data from investments, transactions, and impact attributes) . Conduct quantitative analysis to assess risk, return, and impact across blended finance, green bank, innovative insurance and risk transfer solutions, as well as other catalytic finance structures, including proactively identifying opportunities for further exploration, data limitations, and modeling risks.