Summary
Tianlin Yang is an analytics professional with eight years of experience blending actuarial rigor and applied data science, currently working as an Analytics Analyst in New York and pursuing a Master’s in Business Analytics at Columbia. Trained in Actuarial Science and Risk Management at the University of Wisconsin–Madison and certified in Data Science, Tianlin has built quantitative investment strategies, backtested decade-long financial datasets, and improved model refresh workflows to boost efficiency by up to 10x. Prior roles across finance, real estate, and insurance showcase strengths in Python-driven data engineering, multithreaded computation, regression modeling, and communicating insights to investors and stakeholders. He has a proven record of converting complex data into actionable recommendations—whether optimizing REITs investment reports or designing digital incentive experiments for life insurance agents. Notably, his quant internships produced strategies with annualized excess returns of 17–23% and Sharpe ratios as high as 2.6, reflecting a rare combination of theoretical training and hands-on performance.
8 years of coding experience
Bachelor’s Degree, Actuarial Science; Risk Management and Insurance, Bachelor’s Degree, Actuarial Science; Risk Management and Insurance at University of Wisconsin-Madison
Master's degree, Business Analytics, Master's degree, Business Analytics at Columbia University
Chinese, English