I am an independent specialized in actuarial services, data strategy and data execution for the financial sector. Before my position as entrepreneur started in 2022, I joined Allianz Benelux in July 2018 as chapter lead of data scientists to develop and lead the team (rounded 15 internals, 2 traineeships, 3 externals and 2 students). This role included the coaching, the skills development of the team and the promotion of data science. I was also strategic theme lead and data product manager for all E2E non life insurance products including pricing and claims handling. I have developed expertise in AI ethics and MLOps. Prior, I was a senior expert advisor (within the Risk Consulting team of KPMG Advisory in Belgium, with 4 years of experience in the areas of risk and actuarial modelling life and non life insurance, regulation, etc). I was also an active member of the ‘Data Analytics’ team for which I was supporting the development of predictive modelling techniques (machine learning techniques [supervised and not supervised], deep learning techniques, etc. I have started my career in academia as a teaching assistant at the University of Mons. For 9 years including several years of post doc, I have developed a strong expertise in nonlinear analysis and as a teacher.

Beschikbaar vanaf: 30 juni 2024
5 day(s)/per week
Own car
Weekend Work
Evening Work

GIGHOUSE opinion


Chris is very dedicated with a solid career in academia (PhD), data science and management, specialised more in non-life. His forte lies in End-2-end processes, bridging between business units and the product unit. His interests lie in data transformation, remapping, design and structure as well as cross department experience, business/technical alignment and team management.

Chris is very analytical, pragmatic and a natural achiever. He's not fluent in Dutch.

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      0036N00000cK8w3QAC Chris