I am responsible for leading the company’s insurance data science teams which develop and services our analytics and modelling products. With more than 25 years of experience in data and analytics across the insurance and financial services industries and market-leading innovations
Interview with John Beal, Senior Vice President, Analytics, Insurance, LexisNexis Risk Solutions.
1. Tell us about your role at LexisNexis Risk Solutions
I am responsible for leading the company’s insurance data science teams which develop and services our analytics and modelling products. With more than 25 years of experience in data and analytics across the insurance and financial services industries and market-leading innovations, my team develops incremental predictive uses of existing data and processes. We have a strong focus on developing personal and commercial lines credit-based loss models as well as new non-credit industry solutions.
2. What attracted you to working with insurance providers and car manufacturers on their data strategies?
LexisNexis Risk Solutions products and services are designed to reduce fraud, help consumers find competitive insurance cover with minimal friction, mitigate risk, make society safer and — most importantly — safeguard private data. Those fundamental objectives really appeal to me on a personal and professional level. As more data is becoming available, it is vital it is maximised to ensure people are priced fairly and appropriately for the risk they represent. I can play a valuable role in making that happen.
