To support the development of innovative fraud detection solutions, a full-time remote Quantitative Scientist, PhD new grad will build and maintain machine learning models, conduct research on fraud types, and contribute to product development in financial risk. Key responsibilities Develop and maintain fraud detection models through the entire model development lifecycle Research new fraud types and contribute to the creation of identity verification products Write production-ready code for real-time decision-making and present analyses to inform various business areas Required qualifications Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field Strong foundation in machine learning, statistics, or applied data science Experience with Python and data science tools through coursework, research, or projects Demonstrated ability to analyze complex problems and develop data-driven solutions Interest in fraud, identity, and financial risk systems