Summary
Sage Xiao is a Senior Data Specialist with nine years of cross-functional experience in insurance, reinsurance and finance, currently applying statistical and data engineering expertise at Munich Re. Holding an MA in Statistics from Columbia and a BS in Actuarial Science, Sage blends deep quantitative knowledge—derivatives pricing, risk management and asset pricing—with hands-on mastery of Excel, SQL, R and Python to transform large, messy datasets into actionable insight. Proven across product administration, claims and treaty review, Sage also leads retention and change management initiatives that streamline workflows and reduce operational friction. Comfortable liaising with internal and external stakeholders, they pair financial reporting rigor with an eye for automation opportunities that improve accuracy and speed. A lifelong learner (self-described “学习中的小白” on GitHub), Sage brings both institutional domain expertise and a pragmatic curiosity that accelerates data-driven decisions.
8 years of coding experience
Master of Arts - MA, Statistics, Master of Arts - MA, Statistics at Columbia University in the City of New York
Bachelor of Science - BS, Actuarial Science, Bachelor of Science - BS, Actuarial Science at The Ohio State University
Chinese