Edward S is a Senior Quantitative Risk Analyst based in New York with 15 years of experience applying data science and machine learning to financial and healthcare domains. He transitioned from hands-on ML roles—internships at AbbVie and ITRI and a data scientist position at CareDx—into enterprise risk analytics at MetLife, blending technical modeling with regulatory and business-focused risk assessment. Trained at UC Berkeley (Data Science/Chemical Engineering) and the University of Chicago (MS Analytics), he brings rigorous statistical foundations and practical deployment experience. Edward is comfortable taking prototypes from research to production and has experience navigating cross-functional stakeholders in regulated industries. Colleagues describe him as a practitioner who pairs analytical depth with a pragmatic focus on interpretability and auditability. He often leverages domain knowledge from life sciences to inform more robust risk models, a less obvious thread that ties his background together.
15 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA Data Science Chemical Engineering, Bachelor of Arts - BA Data Science Chemical Engineering at University of California, Berkeley
Master of Science - MS Analytics, Master of Science - MS Analytics at University of Chicago
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.