Talex Diede

ASA

Actuarial Data Scientist

Seattle, WA, US

Talex Diede is an actuarial data scientist with the Life Practice in Milliman's Seattle office. She works primarily with the life and annuity predictive analytics group. She joined the firm in 2013.

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Experience

Since joining Milliman, Talex has primarily worked on predictive modeling, with a focus on policyholder behavior. She specializes in data analysis and data manipulation in addition to statistical modeling and manages projects related to predictive modeling. She has experience with traditional statistical model building methods and machine learning methods. Recent projects include investigating uses of big data to improve predictions of policyholder behavior. She has strong technical skills, which make her well suited to predictive modeling projects and others. She is also a frequent presenter on topics related to predictive modeling. Other projects she has worked on include, but are not limited to, model validation, product design, and assumption review.

Publications and Presentations

“Bull’s-eye! Using targeted products and market segmentation in life insurance to benefit both insurer and customer.” The Actuary magazine, June/July 2018.
“Predictive Analytics Applications,” 2018 Valuation Actuary Symposium.
“Customer Segmentation and Profitability Analysis,” 2018 Predictive Analytics Symposium.
“Machine Learning Topics,” 2017 & 2018 Practical Predictive Analytics Seminar.
“Using Predictive Analytics to Set Actuarial Assumptions,” 2016 Valuation Actuary Symposium.
“Lapse Tail Risk: An application of predictive modeling in economic capital calculation,” Milliman research report.
“Variable Annuity Lapse and Utilization Experience Studies,” Milliman report.

Professional Designations

Associate, Society of Actuaries
Member, American Academy of Actuaries

Education

MSc, Computational Finance and Risk Management, University of Washington
BS, Applied and Computational Mathematical Sciences and Economics, University of Washington

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Publications

Read their latest work

Article

生命保険における人工知能とデータ分析の利用

29 November 2021 - by Fanny Pouget, Rémi Bellina, Mehdi Echchelh, Karol Maciejewski, Christoph Krischanitz, Bartosz Gaweda, Dominik Sznajder, Raymond van Es, Talex Diede, Kshitij Srivastava, Nathan Wilbanks, Mike Hoyer, Clement Bonnet

データ分析および機械学習の出現は、保険会社および再保険会社に対し、自社のビジネスを解析・モニターする方法に新たなインサイトを提供しています。

Article

The use of artificial intelligence and data analytics in life insurance

The emergence of data analytics and machine learning is providing insurers and reinsurers with new insights into how they drive and monitor their business.

Article

Milliman VALUES 2014: Variable annuity industry lapse experience study

24 June 2015 - by Peggy Brinkmann, Eileen S. Burns, Talex Diede, David Wang

The 2014 Milliman VALUES™ study examined VA contracts between 2007 and 2013 to produce the most comprehensive and rigorous examination of industry variable annuity lapses ever performed.

Article

ミリマンVALUES 2014年：変額年金業界の解約失効経験調査（英語版のみ）

24 June 2015 - by Peggy Brinkmann, Eileen S. Burns, Talex Diede, David Wang

2014年ミリマンVALUES™調査では、2007年から2013年の変額年金契約を調査し、これまでに行われた中で最も包括的かつ厳密な変額年金業界の解約失効調査となりました。

Talex Diede

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Experience

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Read their latest work

生命保険における人工知能とデータ分析の利用

The use of artificial intelligence and data analytics in life insurance

Milliman VALUES 2014: Variable annuity industry lapse experience study

ミリマンVALUES 2014年：変額年金業界の解約失効経験調査（英語版のみ）

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Talex Diede

Experience

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