Peter Boekel
Consulting Actuary
1101 BE, NL
Peter is a consultant in the Amsterdam office of Milliman and joined the firm in 2007. Part of the Amsterdam office, he carries out consulting missions in the Netherlands and Belgium.
Prior to this, he worked one and half year for Delta Lloyd (part of Aviva) as a developer of RBC/EEV models, one year as ALM consultant for Strategeon Investment Consultancy.Experience
Peter’s area of expertise is financial risk management. In his career, he developed experience on a wide range of implementations of risk management (insurance and pension funds). He is fluent in Dutch and English.
Professional Designations
- Fellow, Actuarieel Genootschap (Dutch Society of Actuaries)
Education
- MSc, Actuarial Science, University of Amsterdam
Publications
Read their latest work
Article
Python in Excel
17 May 2024 - by Peter Boekel, Emilie Perrin, Koen Zomerdijk
We share some thoughts from our testing of Python in Excel, focusing on the advantages for specific challenges, especially for the insurance industry.
Article
Market insight from year-end 2022 SFCRs: Analysis of life insurers based in Luxembourg
28 September 2023 - by Peter Boekel, Kevin Vetsuypens, Emilie Perrin, Arije Amara
We analyse the SFCRs of 15 life entities of Luxembourg life insurers, which represent about 93% of the total assets of the market.
Article
Bridging the gap between IFRS and Solvency II Capital Generation: A case study
12 May 2023 - by Lotte van Delft, Peter Boekel, Sjoerd Brethouwer, Maarten Ruissaard
Defining and comparing capital generation in IFRS and Solvency II is crucial for communicating a transparent and consistent investor story.
Article
IFRSとソルベンシーIIにおける資本生成のギャップを埋める:ケーススタディ
12 May 2023 - by Lotte van Delft, Peter Boekel, Sjoerd Brethouwer, Maarten Ruissaard
IFRSとソルベンシーIIにおける資本生成の定義と比較は、透明で一貫性のあるストーリーを投資家に伝えるために極めて重要です。
Article
Applied unsupervised machine learning in life insurance data
27 January 2023 - by Michail Athanasiadis, Karol Maciejewski, Peter Boekel
Research results from accelerating projections of portfolios by compressing data of underlying policies.
Article
生命保険データにおける教師無し応用機械学習
27 January 2023 - by Michail Athanasiadis, Peter Boekel
元になる契約データを圧縮し、ポートフォリオのプロジェクションを短期化することで得られた研究結果について
Article
複製ポートフォリオ
01 November 2009 - by Peter Boekel, Takanori Hoshino, Rikiya Ino, Craig Reynolds, Henny Verheugen, Lotte van Delft
近年、ますます多くの保険会社が、事業管理プロセスの一環として、複雑な確率論的モデルを採用している。
Article
Replicating portfolios
01 November 2009 - by Peter Boekel, Takanori Hoshino, Rikiya Ino, Craig Reynolds, Henny Verheugen, Lotte van Delft
A new technique may make complex actuarial modeling more practical.