Computer architecture for characterizing and managing risk

A method for optimizing a risk transfer strategy for a resource provider within a domain, comprising:

• accessing event data from a resource provider;
• analyzing the event data at a high risk level and a low risk level;
• clustering event data within the low risk level based on domain level event data to generate a set of clusters;
• detecting negative correlations between event data in the set of clusters and event data in the high risk level;
• and
• generating an optimized risk transfer strategy for the resource provider based on detected negative correlations.

A computerized platform for managing risk for resource providers, comprising:

• a non-catastrophic risk analyzer that:
• evaluates historical event data from a resource provider to determine frequency and volatility data;
• generates a set of clusters of event data based on industry event data;
• applies the frequency and volatility data to selected clusters to determine cost and risk parameters;
• sets boundaries conditions to the cost and risk parameters;
• and
• generates a non-catastrophic risk transfer strategy;
• a catastrophic risk analyzer that generates a catastrophic risk transfer strategy based on budget and threshold requirements;
• and
• a risk transfer optimization system that iteratively recalibrates and combines the non-catastrophic and catastrophic risk transfer strategies into a comprehensive risk transfer strategy until an optimized cost savings is achieved, wherein a recalibration includes altering the cost and risk parameters and the catastrophic risk transfer strategy.