Machine Learning Engineer, Graph Deep Learning - Credit

Monee is seeking a Machine Learning Engineer with a focus on graph deep learning to enhance credit risk assessment through the development of advanced models. The role involves a comprehensive approach to model development, including designing training samples, constructing graphs, and evaluating models for production use. Key tasks include investigating various training populations, designing nodes and edges from diverse data sources, and implementing graph attention models while conducting ablation studies to assess feature contributions. Candidates should have practical experience in graph learning and a strong background in experimentation, particularly in areas such as credit risk, e-commerce, and recommendation systems. The position is suitable for individuals who can effectively translate research findings into tangible business outcomes. While the advert does not specify employment type or language requirements, it emphasizes the importance of rigorous analytical skills and a passion for solving real-world problems. This role is ideal for those with a solid understanding of graph structures and a desire to innovate within the financial sector.