Oliver Wang
Research Fellow In International Macro-Finance
Shanghai, United States
Summary
🤩
Rockstar🎓
Top SchoolOliver Wang is a research-focused quantitative financial researcher and developer with seven years of experience bridging international macro-finance and applied machine learning. Currently a Research Fellow in International Macro-Finance at Stanford GSB’s Global Capital Allocation Project, he has supported faculty-led research at top institutions including Harvard and Chicago Booth while contributing hands-on quantitative work in markets roles. Oliver is also an active open-source contributor to prominent AI-for-finance projects (FinRL-Meta, FinNLP, FinGPT), where he has built RL trading environments and GPT-driven demo agents that fuse sentiment analysis with trading logic. Comfortable moving between academic rigor and production-style prototypes, he pairs deep econometric training with practical quant trading and data-engineering skills cultivated at firms like BNP Paribas and CICC. A Shanghai-based researcher with roots at Tsinghua and Chicago, he quietly combines model-building, code, and market intuition to prototype tools that make financial ML reproducible and research-ready.
7 years of coding experience
2 years of employment as a software developer
Pre-Doctoral Research Fellow, Pre-Doctoral Research Fellow at Stanford University Graduate School of BusinessMiddle School Diploma, High School Diploma, Middle School Diploma, High School Diploma at The Experimental High School Attached to Beijing Normal UniversityMaster's degree, Research Methodology and Quantitative Methods (with honors), Master's degree, Research Methodology and Quantitative Methods (with honors) at 美国芝加哥大学Bachelor of Arts - BA, Economics, Bachelor of Arts - BA, Economics at 清华大学经济管理学院 Tsinghua University School of Economics and Management
Github Skills (18)
openai-api10
chatgpt10
python10
openai-gym10
finance10
pandas10
machine-learning10
large-language-models10
reinforcement-learning10
deep-reinforcement-learning10
jupyter-notebook10
nlp10
prompt-engineering9
modeling8
statistical-models8
Programming languages (2)
Github contributions (5)
AI4Finance-Foundation/FinNLP
Feb 2023 - Mar 2023
Democratizing Internet-scale financial data.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:50 commits, 1 PR, 86 pushes in 1 month
Contributions summary:Oliver implemented a demo for GPT trading, developing both the environment and agent components within a Jupyter Notebook. The code includes a trading environment leveraging financial data and a GPT-based agent for sentiment analysis. The user also integrated OpenAI's API for sentiment analysis and made updates to address sentiment analysis results and handle trading volume.
AI4Finance-Foundation/FinGPT
Feb 2023 - Mar 2023
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:21 commits, 4 PRs, 71 pushes in 29 days
Contributions summary:Oliver implemented a demo trading application using ChatGPT, likely integrating it with financial data and trading logic. The code changes included setting up OpenAI API access, defining the trading environment and agent, and integrating news data for sentiment analysis. The user also updated a ChatGPT Robo Advisor, indicating a focus on building financial applications utilizing large language models.
chatgptfinancefingptfintechlarge-language-models
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