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Karol Maciejewski

Msc, Fellow IABE
Director, Consulting Actuary
Paris, FR

Karol Maciejewski is a director in the Life Insurance team of the Paris office. He is leading consulting assignments, focusing primarily on insurance modeling, analytics and applications of innovation and technology to redefine and transform processes. He is currently focused on high-performance computing and machine learning applications in insurance and ALM models.

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Experience

Karol has more than 15 years of experience in the actuarial and risk management field. He has broad expertise in actuarial models architecture and in the development of IT, allowing him to bridge the gap between these two worlds. He has led and participated in projects for insurance and reinsurance clients in Belgium, Netherlands, France, Spain, Portugal, Korea, China, and the USA. He also has experience with Solvency II calculations (SF and IM) and reporting, insurance portfolio valuations, and pricing.

Publications

Read their latest work

Article

Building a high-performance in-house life projection and ALM model: Architecture and implementation considerations in Python

14 March 2023 - by Karol Maciejewski, Mehdi Echchelh
With the right expertise, designing and implementing an in-house life projection and ALM model using Python can yield significant model performance improvements.
Article

Life insurance modeling platforms: Changing landscape

14 February 2023 - by Karol Maciejewski, Pierre Miehé, Thomas Peplow
As insurance companies use IT to advance modeling platforms, the change process is complex, and not without risks.
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

The use of artificial intelligence and data analytics in life insurance

29 November 2021 - by Fanny Pouget, Rémi Bellina, Mehdi Echchelh, Karol Maciejewski, Christoph Krischanitz, Bartosz Gaweda, Raymond van Es, Talex Diede, Kshitij Srivastava, Nathan Wilbanks, Michael Hoyer, Clement Bonnet
The emergence of data analytics and machine learning is providing insurers and reinsurers with new insights into how they drive and monitor their business.