Key Responsibilities

• Assist in designing and pricing index-based and traditional agriculture insurance products, including drought, excess rainfall, flood, pest & disease covers.
• Support data analysis for various parametric indices (e.g., NDVI, TAMSAT rainfall, soil moisture, Evapotranspiration, yield datasets, satellite weather data).
• Contribute to actuarial modelling, risk assessment, premium computation, and loss-cost analysis.
• Participate in portfolio monitoring, exposure analysis, and performance evaluation of existing insurance schemes.
• Help develop technical documentation, product reports, and actuarial summaries.
• Conduct research on climate risks, agricultural production trends, and insurance market innovations.
• Work with the actuarial and product development teams to generate insights that strengthen product design.
• Assist in preparing presentations, dashboards, and analytical outputs for internal teams, insurers, reinsurers, and development partners.

Requirements

Required Qualifications

• A bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, or a related quantitative discipline, obtained within the past two years.
• Strong statistical and analytical skills.
• Foundational knowledge of actuarial principles (risk modelling, pricing, probabilities, forecasting).
• Familiarity with R, Python, Excel, or GIS tools (advantageous).
• Interest in agriculture, climate resilience, or insurance innovations.