Summary
Max Tang is a data scientist with nine years of experience applying econometrics, actuarial principles, and machine learning to deliver actionable analytics across finance and commercial data products. After senior analyst work at Goldman Sachs, he spent several years at YipitData advancing from Data Specialist to Data Product Analyst, and now applies quantitative research at an undisclosed hedge fund in the NYC area. He excels at turning messy, transactional datasets into production-ready signals and has a track record of bridging domain knowledge with scalable data pipelines. Comfortable in both product-facing and research-driven roles, he brings a pragmatic focus on model interpretability and risk-aware decisioning. He trained in economics and political economy, giving him a strong grounding in causal thinking that complements his ML toolkit.
8 years of coding experience
Bachelor’s Degree Economics, Bachelor’s Degree Economics at University of Minnesota
Political Science and Economics, Political Science and Economics at Allegheny College
Chinese, English, Japanese