We offer consulting services in actuarial science & quantitative finance, including a.o. capital, portfolio, product, risk and liquidity management. We build our expertise on broad data analytics capacities.
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We develop solutions in partnership with our clients, i.e. we integrate our solutions in our client’s systems and processes and we secure full knowledge transfer (e.g. open source code).
We share our knowledge with our clients. We offer a comprehensive learning platform, including on-site trainings, e-learning modules, e-classrooms and webinars.
Thank you for visiting our stand and joining us for insightful presentations on the latest trends and innovations in the industry. Curious about the topics we discussed? You can still access the abstracts of our presentations.
DownloadTRAIL (TRusted AI Labs) is at the forefront of advancing Trusted AI. We are excited to embark on this journey towards building trustworthy and responsible AI solutions.
Read moreBy becoming a member of the Belgian Alliance for Climate Action, Reacfin commits to developing climate targets through SBTi.
Read moreHow to assess credit risk models in a financially meaningful way ? Unlock the secrets to effective credit risk assessment and financial decision-making with our latest presentation on Credit Scoring Models: "Which Performance Metrics for Optimal Financial Decision-Making?" Contact our experts to delve into credit risk models !
DownloadThis presentation discusses the rising use of machine learning, particularly tree-based models, in non-life insurance for tasks like pricing, underwriting, profitability, competition analysis, and portfolio management, while addressing discrimination and fairness in pricing.
DownloadThis paper examines the cost of explainability in machine learning models for credit scoring.
Read nowThis presentation shows the benefits of technology-driven actuarial engineering for improving the decision-making process of insurance companies.
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This presentation explores the growing topic of electric vehicle insurance.
This presentation addresses the challenges insurers face and the solutions data science, artificial intelligence and machine learning techniques can provide.
This presentation studies the macro-economic evolution and impact on insurance.
This presentation aims to remind some useful machine learning techniques, better understand the results and explain how to use these interpretation techniques to improve predictive models.
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This paper examines the financial cost of explainability, comparing various machine learning models for credit scoring.
This masterclass focuses on Non-life pricing: The actuarial & data science toolkit.
This masterclass focuses on understanding the performance of an insurance company.
More detailsThe training program is composed of regular sessions to learn and discuss the most recent topics in Life Insurance and Pension.
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This masterclass focuses on understanding the roles of reinsurance in the insurance business.
This masterclass focuses on understanding why, where and how data science affects the insurance business.
More detailsThe EIOPA stress test will be a challenge for insurers in terms of data and modelling.
DownloadA Reacfin Research White Paper in Machine Learning with application in insurance pricing.
DownloadThe 2022 ECB Stress test represents a challenge, but also an opportunity for the Belgian residential mortgages.
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