William Torres
ACAS
Lead Developer
Chicago, IL, US
William is an actuarial analyst in the Chicago casualty practice of Milliman. He has been at the firm since his internship during the summer of 2015.
Experience
William’s expertise in property and casualty insurance primarily involves loss reserving and forecasting for clients in specialty lines and workers’ compensation liability.
He also has a background in data science and software development, a skillset partly gained through his prior experience as a programmer before joining the firm. His experience includes the development and analysis of large databases for property and casualty insurance industry applications, providing technical support for projects, including pricing and predictive analytics. These projects include data querying, grouping and analysis utilizing languages such as SQL, R and JavaScript.
Casualty Actuarial Society Exams
- VEE – Applied Statistical Methods
- VEE – Corporate Finance
- VEE – Economics
- Exam 1 – Probability
- Exam 2 – Financial Mathematics
- Exam 3F – Models for Financial Economics
- Exam 4 – Construction and Evaluation of Actuarial Models
Education
- BS, Physics, Universidad del Zulia. Maracaibo, Venezuela.
- MS, Actuarial Science, Roosevelt University. Chicago, IL, US.
Publications
Read their latest work
Article
Which highway safety factors have the strongest association with injury?
09 April 2019 - by Olivia Esterlis, Jill Rosenblum, Kayla Spitzner, Ora Suslovich, William Torres, Tim Vosicky, Cindy Yang, Liz Young, Yoel Zuman
Recently, Milliman challenged its actuaries and data scientists to use the National Highway Traffic Safety Administration’s publicly available database on crash data to model which highway safety factors have the strongest association to crashes that involve one or multiple injuries.
Article
Industry body part coding is wrong - Part 1: Multiple body parts
11 February 2019 - by William Torres, Michael Paczolt
Multiple body part claims can be translated into specific combinations of body parts by extracting data from unstructured data using text mining algorithms.
Article
Making predictive analytics work for you
30 May 2017 - by Michael Paczolt, William Torres
Predictive analytics vs. historical data summaries: Understanding the difference.