Summary
Juan Cheng is a Financial Data Analyst with a PhD in Physics from the National University of Singapore and a decade of experience turning complex experimental and market signals into actionable insights. She transitioned from building and measuring DNA nanomotors and single-molecule experiments to engineering news and real-time financial analytics pipelines using NLP, Spark, Kafka, Storm and Redis. At InfoTrie she blends statistical modeling and machine learning with production-grade big-data systems to deliver sentiment-driven trading signals, drawing on prior quant and algo-trading experience at Six Capital. Comfortable in R, Python, Java and Matlab, Juan pairs deep scientific rigor with pragmatic software engineering to solve noisy-data problems at scale. Her background supervising students and tutoring undergrads also underpins strong communication and mentorship skills rarely seen in pure quant analysts.
10 years of coding experience
Pass Level 1, Finance, Pass Level 1, Finance at CFA
B.S., Physics, 4.3, B.S., Physics, 4.3 at Nanjing University
PhD, Physics, PhD, Physics at National University of Singapore
English, Chinese