About the client
One of the largest global Property & Casualty (P&C) insurance Firm
Challenges
- Lack of unified source and interface for real time modeling of risk scores and premiums
- Inability to handle increase in volumes as existing solution was unscalable
- Delay in handling requests leading to poor customer experience
Approach
- Devised a solution which was scalable & ensured business continuity with no disruption
- Built Python based models capable of handling complex scoring rules
- Ensured seamless data integration by APIfication of models on Azure platform
Solution
- Reconfigured the current financial risk scoring models from legacy excel (VB) Macros to optimized Python script to allow real-time batch scoring
- Built end-to-end containerized model deployment pipeline on MS Azure to enable scalability based on volume
- Constructed API based framework to allow integration with any front-end solution
- Enabled data integration with external sources like Dun and Bradstreet, Experian etc., to feed the model to calculate risk scores
- Built analytical models with 99.7% effective pass rate
