Jan Thiemen Postema

MSC

Consultant

1101 BE, NL

Jan Thiemen Postema works as a consultant in the Amsterdam office of Milliman.

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Experience

Jan Thiemen joined Milliman in 2020, and has five years of experience working in the realm of data science. Before joining Milliman, he worked in a similar role at Ortec Finance. At Milliman, he focusses mainly on the application of data science and machine learning techniques in the insurance sector, as well as data engineering and visualization projects.

Education

Master of Science in Computer Science, specialization Data Science, University of Twente, the Netherlands
Bachelor of Science in Business & IT, University of Twente, the Netherlands

Publications

Read their latest work

Article

次の鉄砲水はどこか？極値理論による欧州の極端な豪雨および鉄砲水リスクの定量化

18 December 2025 - by Matt Chamberlain, Fernando Mierzejewski, Jan Thiemen Postema, Thomas van der Valk, Menno van Wijk

ミリマンでは、極値理論を用いて欧州における壊滅的な降水イベントのリスクを評価し、地中海沿岸で最も高いリスクがあることを特定しました。

Article

Where is Europe’s next flash flood? Quantifying extreme precipitation and flash flood risk in Europe with extreme value theory

18 December 2025 - by Matt Chamberlain, Fernando Mierzejewski, Jan Thiemen Postema, Thomas van der Valk, Menno van Wijk

We use extreme value theory to assess the risk of catastrophic precipitation events in Europe, identifying the highest risks along the Mediterranean coast.

Article

架空請求：生成AIと自動車保険における詐欺

03 December 2025 - by Bartosz Gaweda, Raymond van Es, Leonid Zeldin, Jan Thiemen Postema, Tristan Stoevelaar

詐欺師たちがAIで加工した画像を保険金請求の証拠画像として提出する中、ミリマンの調査は、世界中の自動車保険会社が保険金詐欺を見分ける手助けをしています。

Article

Accidents that never happened: Generative AI and fraud in motor insurance

03 December 2025 - by Bartosz Gaweda, Raymond van Es, Leonid Zeldin, Jan Thiemen Postema, Tristan Stoevelaar

As fraudsters submit AI-manipulated images of car crashes, Milliman’s research is helping global motor insurers separate the real claims from the scams.

Article

クラスタリング技術：イノベーションと実践的実装

29 October 2025 - by Aatman Dattani, Avi Freedman, Corey Grigg, Jan Thiemen Postema, Karol Maciejewski, Sijbo Holtman

本稿では、保険会社の計算効率を大幅に向上させるのに役立つ進化するモデル圧縮技術を取り上げます。

Article

Clustering techniques: Innovations and practical implementation

29 October 2025 - by Aatman Dattani, Avi Freedman, Corey Grigg, Jan Thiemen Postema, Karol Maciejewski, Sijbo Holtman

We explore evolving model compression techniques that can help insurers achieve significant computational efficiency gains.

Article

欧州における洪水リスクのモデリング

02 May 2024 - by Jan Thiemen Postema, Daniël van Dam, Menno van Wijk, Niels Van der Laan, Antoine Rainaud, Eve Titon

オランダおよびフランスにおける洪水保険の損害を予測するためのフレームワークとツールについて紹介します。

Article

Flood risk modelling in Europe

02 May 2024 - by Jan Thiemen Postema, Daniël van Dam, Menno van Wijk, Niels Van der Laan, Antoine Rainaud, Eve Titon

We present a framework and tools for projecting insured flood losses in the Netherlands and France, which can be used for insurance portfolios across Europe.

Article

COVID-19の最良推計死亡率前提条件への影響

08 September 2023 - by Flora Auter, Amal Elfassihi, Salima el Khababi, Jan Thiemen Postema, Eve Titon, Raymond van Es

COVID-19の死亡率データ補正法を用いることで、重複計上を避け、単発的経験による不安定性なしに長期的なトレンドを導き出すことができます。

Article

Impact of COVID-19 on best estimate mortality assumptions

08 September 2023 - by Flora Auter, Amal Elfassihi, Salima el Khababi, Jan Thiemen Postema, Eve Titon, Raymond van Es

Using mortality data adjustment methods for COVID-19 helps avoid double counting and derives long-term trends without instabilities from a one-off experience.

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Read their latest work

Article

次の鉄砲水はどこか？極値理論による欧州の極端な豪雨および鉄砲水リスクの定量化

18 December 2025 - by Matt Chamberlain, Fernando Mierzejewski, Jan Thiemen Postema, Thomas van der Valk, Menno van Wijk

ミリマンでは、極値理論を用いて欧州における壊滅的な降水イベントのリスクを評価し、地中海沿岸で最も高いリスクがあることを特定しました。

Article

Where is Europe’s next flash flood? Quantifying extreme precipitation and flash flood risk in Europe with extreme value theory

18 December 2025 - by Matt Chamberlain, Fernando Mierzejewski, Jan Thiemen Postema, Thomas van der Valk, Menno van Wijk

We use extreme value theory to assess the risk of catastrophic precipitation events in Europe, identifying the highest risks along the Mediterranean coast.

Article

架空請求：生成AIと自動車保険における詐欺

03 December 2025 - by Bartosz Gaweda, Raymond van Es, Leonid Zeldin, Jan Thiemen Postema, Tristan Stoevelaar

Article

Accidents that never happened: Generative AI and fraud in motor insurance

03 December 2025 - by Bartosz Gaweda, Raymond van Es, Leonid Zeldin, Jan Thiemen Postema, Tristan Stoevelaar

As fraudsters submit AI-manipulated images of car crashes, Milliman’s research is helping global motor insurers separate the real claims from the scams.

Article

クラスタリング技術：イノベーションと実践的実装

29 October 2025 - by Aatman Dattani, Avi Freedman, Corey Grigg, Jan Thiemen Postema, Karol Maciejewski, Sijbo Holtman

本稿では、保険会社の計算効率を大幅に向上させるのに役立つ進化するモデル圧縮技術を取り上げます。

Article

Clustering techniques: Innovations and practical implementation

29 October 2025 - by Aatman Dattani, Avi Freedman, Corey Grigg, Jan Thiemen Postema, Karol Maciejewski, Sijbo Holtman

We explore evolving model compression techniques that can help insurers achieve significant computational efficiency gains.

Article

欧州における洪水リスクのモデリング

02 May 2024 - by Jan Thiemen Postema, Daniël van Dam, Menno van Wijk, Niels Van der Laan, Antoine Rainaud, Eve Titon

オランダおよびフランスにおける洪水保険の損害を予測するためのフレームワークとツールについて紹介します。

Article

Flood risk modelling in Europe

02 May 2024 - by Jan Thiemen Postema, Daniël van Dam, Menno van Wijk, Niels Van der Laan, Antoine Rainaud, Eve Titon

We present a framework and tools for projecting insured flood losses in the Netherlands and France, which can be used for insurance portfolios across Europe.

Article

COVID-19の最良推計死亡率前提条件への影響

08 September 2023 - by Flora Auter, Amal Elfassihi, Salima el Khababi, Jan Thiemen Postema, Eve Titon, Raymond van Es

COVID-19の死亡率データ補正法を用いることで、重複計上を避け、単発的経験による不安定性なしに長期的なトレンドを導き出すことができます。

Article

Impact of COVID-19 on best estimate mortality assumptions

08 September 2023 - by Flora Auter, Amal Elfassihi, Salima el Khababi, Jan Thiemen Postema, Eve Titon, Raymond van Es

Using mortality data adjustment methods for COVID-19 helps avoid double counting and derives long-term trends without instabilities from a one-off experience.

Jan Thiemen Postema

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Experience

Read their latest work

次の鉄砲水はどこか？極値理論による欧州の極端な豪雨および鉄砲水リスクの定量化

Where is Europe’s next flash flood? Quantifying extreme precipitation and flash flood risk in Europe with extreme value theory

架空請求：生成AIと自動車保険における詐欺

Accidents that never happened: Generative AI and fraud in motor insurance

クラスタリング技術：イノベーションと実践的実装

Clustering techniques: Innovations and practical implementation

欧州における洪水リスクのモデリング

Flood risk modelling in Europe

COVID-19の最良推計死亡率前提条件への影響

Impact of COVID-19 on best estimate mortality assumptions

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CHOOSE A LOCATION AND LANGUAGE

Jan Thiemen Postema

Read their latest work

次の鉄砲水はどこか？極値理論による欧州の極端な豪雨および鉄砲水リスクの定量化

Where is Europe’s next flash flood? Quantifying extreme precipitation and flash flood risk in Europe with extreme value theory

架空請求：生成AIと自動車保険における詐欺

Accidents that never happened: Generative AI and fraud in motor insurance

クラスタリング技術：イノベーションと実践的実装

Clustering techniques: Innovations and practical implementation

欧州における洪水リスクのモデリング

Flood risk modelling in Europe

COVID-19の最良推計死亡率前提条件への影響

Impact of COVID-19 on best estimate mortality assumptions

CHOOSE A LOCATION AND LANGUAGE