Quantitative Scientist, PhD

Job Summary

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