Summary
Liang Wang is a Research Scientist II with nine years of quantitative and ML experience, combining a 2023 Ph.D. in Statistics with industry work across finance and conversational AI. He has shipped NLP and LLM fine-tuning solutions at Fidelity, developed MBS pricing and risk models in investment banks, and now applies research-grade methods to Amazon Ads. His background spans both research and product-facing roles—building Alexa QA prototypes, validating portfolio risk metrics, and translating complex models for engineering teams. Liang’s training in mathematical finance and practical experience in ESG signals and stochastic discounting give him a rare blend of statistical rigor and financial-domain intuition. Based in New York, he’s a developer-minded researcher who bridges academic depth with production impact, often surfacing simple, robust fixes to model overfitting and deployment gaps.
9 years of coding experience