About
For life insurance underwriters, it is critical to leverage a wide array of data sets to gain a comprehensive view of mortality. But did you know that by combining data that is usually evaluated individually, you can uncover additional risk differentiation? In our webinar, we will discuss best practices for quantifying risk, including how to gain a deeper understanding of mortality through combining medical and non-medical data. Our expert speakers will cover key concepts and provide practical insights to help you make more accurate and informed decisions to improve mortality results. We will also showcase real-world applications through the findings of our 2024 Insurance Mortality Risk Management Study, which uncovers new mortality segments within high-risk populations by combining medical with non-medical data.

Stay ahead in an evolving risk landscape by leveraging the most comprehensive mortality insights available and gain practical knowledge that can optimize your underwriting strategies. Register today!
Presenters
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Justin Baker
avp, life underwriting solutions, LexisNexis Risk Solutions
Justin Baker is avp, life underwriting solutions, for LexisNexis Risk Solutions. He brings more than two decades of experience leading various teams and strategic initiatives focused on transforming customer experiences across the insurance space. Currently, he is responsible for crafting and executing the life insurance market strategy, fostering innovation and developing new products for the suite of underwriting solutions. Responsible for revenue growth and driving business development opportunities across the underwriting workflow, he champions go-to-market activities and execution of new data and modeling products within the organization.

Prior to joining LexisNexis Risk Solutions in 2020, Justin held various roles with Country Financial®, a provider of insurance and financial services. In his most recent position there, he served as vice president, life and health administration. Justin holds a bachelor’s degree in sociology and business administration from the University of Oregon.
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Matthew Stull
senior director of data science, LexisNexis Risk Solutions
Matthew Stull, director of data science for LexisNexis Risk Solutions, leads an analytics team focused on applying advanced predictive analytics techniques in the P&C and Life Insurance industry. He directs a team of highly skilled LexisNexis Data Scientists who build predictive models for life insurance underwriting products. His team uses a variety of AI/ML/Statistical methods such as GBM, GLM, and survival modeling. Most importantly he educates both internal and external customers on data sources, statistical techniques, and helps define a practical approach to deploying predictive models and analytics in the life insurance market. He has over 15 years of experience developing and deploying predictive analytics in the insurance industry. He has degrees in Mathematics and Literature from La Salle University and has completed graduate work at DePaul University in Statistics.
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