Summary
Eric Xie is a data scientist with 11 years of analytics experience, blending actuarial training (UNSW) and a Master of Data Science (University of Sydney) to solve finance and insurance problems. He has progressed from analytics roles at KPMG to data scientist at Tokio Marine, applying statistical modelling, SQL, and machine learning to risk and financial datasets. Comfortable building Excel/VBA and MATLAB prototypes as well as production-ready analytics, he bridges quantitative rigor with practical implementation. Eric’s background in actuarial studies gives him a strong appreciation for how modelling underpins financial stability, while recent work emphasizes deploying ML/deep learning in actuarial contexts. He also brings client-facing consulting experience and teaching/tutoring skills that sharpen communication and stakeholder engagement. An early habit of automating workflows—evident from tools he built for recruitment and retail inventory—signals a pragmatic focus on efficiency as well as accuracy.
11 years of coding experience
5 years of employment as a software developer
The University of Sydney
Bachelor of Actuarial Studies/ Bachelor of Commerce, Finance, Actuarial Studies, Bachelor of Actuarial Studies/ Bachelor of Commerce, Finance, Actuarial Studies at UNSW Australia
Higher School Certificate, Extension 1 & 2 Mathematics, Advanced English, Ancient History, Music 2 & Extension, Higher School Certificate, Extension 1 & 2 Mathematics, Advanced English, Ancient History, Music 2 & Extension at Sydney Technical High School
English, Chinese, Chinese