As a full-time remote Quantitative Researcher, PhD new graduate will develop and maintain fraud detection models while researching new types of fraud and building products in financial risk, gaining hands-on experience across the full machine learning lifecycle. Key responsibilities Develop and maintain fraud detection models through the full model development lifecycle Build foundational modeling to support SentiLink's expanding suite of Fraud and Financial Risk products Research new types of fraud and contribute to the development of identity verification products 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 common data science tools through coursework, research, or projects Demonstrated ability to analyze complex problems and build data-driven solutions Interest in learning about fraud, identity, and financial risk systems