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William Torres headshot

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.
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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
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

人身事故に最も大きな関係性を有する高速道路の安全性要素は？(英語版のみ）

09 April 2019 - by Olivia Esterlis, Jill Rosenblum, Kayla Spitzner, Ora Suslovich, William Torres, Tim Vosicky, Cindy Yang, Liz Young, Yoel Zuman
ミリマンでは、先ごろ、米国運輸省の幹線道路交通安全局（National Highway Traffic Safety Administration）の一般に入手可能な衝突事故データに関するデータベースを用いて高速道路のどの安全性要素が人身事故に最も大きな関係性を有すのかをモデル化するよう社内のアクチュアリーやデータサイエンティストに求めました。
Article

業界の身体部分のコードが間違っているーパート1：複数の身体部分(英語版のみ）

11 February 2019 - by William Torres, Michael Paczolt
複数の身体部分に係る保険金請求は、テキストマイニング・アルゴリズムを用いて非構造化データを抽出することで具体的な身体部分の組み合わせに変換することが出来ます。
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

プレディクティブ・アナリティクスを使えるものに（英語版のみ）

30 May 2017 - by Michael Paczolt, William Torres
 プレディクティブ・アナリティクス vs. 過去のデータ・サマリー：違いを理解.
Article

Making predictive analytics work for you

30 May 2017 - by Michael Paczolt, William Torres
Predictive analytics vs. historical data summaries: Understanding the difference.