IPAG Business School is proud to announce that Meryem Yankol-Schalck, Ph.D., Assistant Professor of Data Science, has received the American Risk and Insurance Association (ARIA) Award, in partnership with the Casualty Actuarial Society (CAS), for an article co-authored with Denisa Banulescu-Radu and published in the Journal of Risk and Insurance (FNEGE 2, AJG 3).
Entitled ‘Practical guideline to efficiently detect insurance fraud in the era of machine learning: A household insurance case’, the article proposes an innovative and operational approach to detecting insurance fraud using interpretable machine learning techniques (XGBoost and SHAP values). Based on real home insurance data from France, the study provides a scalable, real-time framework for identifying suspicious claims at the first reporting stage, while reducing false positives and facilitating model interpretation.
The award recognises the most significant contribution to actuarial science in the field of non-life risks over the past year. It highlights not only the quality of the research carried out at IPAG, but also its direct impact on professional practices.
See the official announcement of the Prize.
