Actuarial, Risk & Capital Management for the insurance sector
Innovation in Insurance Business Models
Regulatory evolution, the growing availability of data, and the transformation of insurance models require increasingly
sophisticated tools to assess risk, capital, and performance. GREG supports organizations in navigating this complexity,
combining modeling, quantitative analysis, and knowledge of insurance processes to provide practical tools that support
decision-making.
From traditional models to data-driven decisions
Predictive models, analytics, and artificial intelligence enable the leveraging of ever-growing volumes of data, transforming them into more accurate analyses that support technical, financial, and commercial decision-making.
GREG develops predictive models and proprietary tools applied to key areas of the insurance business: mortality, longevity, and health in the Life sector; claims frequency and severity, pricing, reserving, fraud detection, and technical profitability in the Non-Life sector; and customer behavior and value across both segments.
These solutions also integrate ALM models, advanced analytics, and tools for data quality, governance, and value enhancement.
Evolution of predictive models
Our insights
No results found.