Liang Wang
Research Scientist II at Amazon
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLiang 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
3 years of employment as a software developer
Bachelor of Finance Finance, Bachelor of Finance Finance at University of Shanghai for Science and TechnologyDoctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at Boston University Graduate School of Arts & SciencesMaster of Science - MS Mathematical Finance, Master of Science - MS Mathematical Finance at Questrom School of Business, Boston UniversityExchange Program Finance, Exchange Program Finance at University of North Dakota
Github Skills (25)
python10
big-data10
apache10
java10
scala10
sql10
apache-flink9
c-extension8
onenote7
vscode-extension7
member6
touchpad6
cpp6
vscode6
typescript6
Programming languages (5)
Github contributions (5)
niliushall/data-structure
Sep 2017 - Jun 2023
Contributions:22 pushes, 1 branch in 5 years 9 months
niliushall/webServer
Jul 2018 - Nov 2018
Contributions:26 commits, 21 pushes in 4 months
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