Nickolas Alvarado
FCAS, MAAA
Consulting Actuary
Irvine, CA, US
Nick Alvarado is a consulting actuary with the Property and Casualty Practice in Milliman’s Orange County office. He focuses on InsurTech solutions and advanced ratemaking techniques. He joined the firm in 2019.
Experience
Nick’s areas of expertise include:
- Conducting predictive modeling, including generalized linear models and advanced machine learning techniques
- Developing rates and filing support for emerging markets
- Conducting personal lines ratemaking, product development, and filing support
- Performing data and text mining
- Developing advanced business intelligence reports using data visualization
Prior to joining Milliman, Nick was an actuarial analyst at Auto Club of Southern California where he specialized in ratemaking for personal auto and homeowners insurance. Nick performed advanced modeling using machine learning and traditional techniques, data analytics, and product R&D. He helped the Auto Club develop and launch its mobile telematics program, as well as streamline the rating process for personal automobile and homeowners.
Professional Designations
- Fellow, Casualty Actuarial Society
- Member of the American Academy of Actuaries
Education
- BS, Mathematics – University of California, Irvine
Publications
Read their latest work
Article
Important concepts and tools for building customized private GPTs
16 December 2024 - by Deborah Yin, Annie Shen, Nickolas Alvarado
Generative pre-trained transformer chatbots: We explore some important concepts and tools to build private platforms.
Article
构建私域GPT的重要概念和考量要素
16 December 2024 - by Deborah Yin, Annie Shen, Nickolas Alvarado
目前,对于希望利用人工智能提高运营效率和推动创新的企业来说,如何个性化地和安全地应用GPT已成为一个重要课题。
Article
Regulatory insurance intelligence: Understanding rate filing average days to approval - 2024 Q2
05 September 2024 - by Nickolas Alvarado, Daniel Quiñonez
We examine the key metric of rate-filing-average-days-to-approval for personal auto and homeowners insurance lines, updated for 2024 Q1, and how it can be used to maximize resources.
Article
Regulatory insurance intelligence: Understanding rate filing average days to approval - 2024 Q1
06 June 2024 - by Nickolas Alvarado, Lukas Button, Joshua Timmons
We examine the key metric of rate-filing-average-days-to-approval for personal auto and homeowners insurance lines, updated for 2024 Q1, and how it can be used to maximize resources.
Article
Modernizing homeowners rate plans in the age of changing risk
29 April 2024 - by Nickolas Alvarado, Annie Shen
With changing climate and emerging risks, homeowners insurance carriers can use pricing sophistication techniques to better understand, measure, and price risk.
Article
Regulatory insurance intelligence: Understanding rate filing average days to approval
28 February 2024 - by Nickolas Alvarado, Lukas Button
We offer some insights for insurers on how to determine and use rate-filing-average-days-to-approval, a key metric in personal auto and homeowners lines.
Article
Analyzing insurance product filings with artificial intelligence and large language models
28 February 2024 - by Nickolas Alvarado, Daniel Quiñonez, Erin Brown
We look at how artificial intelligence and large language models can unlock valuable data in insurance product filings in new ways, allowing for novel insights.
Article
Exploring large language models: A guide for insurance professionals
03 October 2023 - by Nickolas Alvarado, Deborah Yin, Thomas M. Prince, Erin McFaul
In this introduction to large language models (LLMs) for insurance professionals, we discuss how these components of artificial intelligence are trained to produce accurate results.
Article
Understanding the new California wildfire rating requirements
10 April 2023 - by Sheri Lee Scott, Nickolas Alvarado
California’s new wildfire rating requirements present tremendous challenges for insurers in terms of compliance and potential erosion of adequate rates for risk.