About the Meeting
Predictive ML and XAI for Underwriting Life and Health Insurance
Underwriting is a risk assessment process that classifies insurance applications into different categories. Traditional underwriting is costly, time-consuming and perceived as a barrier for the underserved population. Despite many attempts in automating life and health insurance underwriting, the dominant approach is a mix between prescriptive rule-based engines and manual underwriting. The presentation showcases how machine learning models and algorithms such as XGB, Random Forest and bagging can be used to predict underwriting decisions.
The speaker for this event is:
- Patricia Wang (Senior Predictive Analytics Actuary), Lloyd's
The presentation will be followed by open discussion.
Presentation 6-7:30 PM including open discussion
Related Events
2026 05 07: CMI - Outlook for mortality improvements at different ages (in-person)
2026 05 07: CMI - Outlook for Mortality Improvements (In-person)
The CMI Mortality Projections Committee (MPC) will give a brief update on its work, including the CMI_2025 mortality projections...
Staple Inn Hall, High Holborn, London, WC1V 7QH
Career Talks - Brampton Manor Academy
SIAS is the largest actuarial society in the UK and a regional hub for actuaries based in London and South East England. One of the objectives is to promote and introduce actuarial profession to ot...