Albert Yumol is a Senior Data Scientist at ING, where he works on fair value modeling and the development of AI-driven tools to support decision-making in wholesale banking. His work focuses on combining quantitative finance techniques with machine learning and large language models to improve model monitoring, transparency, and operational efficiency. He is particularly interested in the responsible and practical application of AI in regulated environments, and contributes to initiatives aimed at making advanced analytics more accessible and actionable across the organization.