Insurance - Core Consulting | |
|---|
Regulation e.g. Solvency II / Solvency UK, PRA/FCA regulation, IFRS17, etc | |
Products knowledge e.g. personal lines, commercial lines, etc | Quality assurance through test automation (unit, integration, end to end, test frameworks) |
Market knowledge e.g. Lloyd's of London, London market, personal lines, etc | DevOps and CI/CD technologies and methodologies |
Reinsurance and impacts on risk transfer | Understanding of Azure Services (App Services, Function Apps, Batch, Cosmos DB, Queues etc) |
| User experience principles: understanding of what makes software enjoyable for people to use |
Validation of internal models or standard formula calculations | Statistical learning methods (regression, classification, non-linear methods, tree-based methods, PCA, clustering). |
Claims reserving methodologies eg chain ladder, frequency-severity, etc | Knowledge of how to apply ML and AI effectively in solutions (assess whether ML/AI is needed, feature engineering, avoiding overfitting, guardrails, communicating output to users) |
| Insurance product and market knowledge (eg insurance data, analytics applications in insurance, key differences between personal lines, Lloyd's, reinsurance etc) |
Understanding of emerging risks | Claims reserving methodologies eg chain ladder, BF, frequency-severity, etc |
