笑冰 田
Quantitative Researcher (A-share HFT)
About
Peking University (PKU) B.S. in Environmental Chemistry; B.A. in Economics (Double Major) | Sept 2022 – Present Cumulative GPA: 3.76/4.00 (Top 10%)Honors: National Scholarship (Top 3%, 2024-2025), Peking University Merit StudentRelevant Courses: Machine Learning (Teaching Assistant), Python Data Analysis, Data Structures & Algorithms, Deep Learning, Time Series Analysis, Econometrics, Mathematical Methods in Finance, High-Frequency Data & Trading, Advanced Mathematics, Linear Algebra, Probability & Statistics.
China
Haidian District
Financial Services
Python, 自然语言处理, 高频交易, 机器学习, 数据可视化, 学术研究, Large Language Models (LLM), 机器学习算法, 深度学习, 大语言模型, 金融, 公司金融, 行业研究, 量化投资, 量化投资策略, 资产配置, 编程, 函数式编程, 金融建模, 定量金融
Experience

Quantitative Researcher (A-share HFT)
博弈资产
北京市, 中国
A-share HFT

Quantitative Researcher (U.S. Equity-NASDAQ HFT)
上海市, 中国
High-Frequency Alpha Mining & Microstructure Analysis on US L2/DOT Tick Data Systematic Factor Engineering Pipeline with Knowledge Graph & Non-linear Signal Synthesis Multi-dimensional Factor Evaluation Framework for Risk-Adjusted Performance & Statistical Robustness HPC-Optimized Factor Research Infrastructure using Slurm, Polars, and Numba Acceleration

Research Assistant,Guanghua School of Management
北京市, 中国
Unstructured Text Mining & Sentiment Analysis: Semantic Topic Reduction of Large-Scale Unstructured Data via BERTopic & LLM Integration Few-Shot Learning & BERT-Based Classifier Deployment for Automated Large-Scale Labeling Fine-Grained Aspect-Based Sentiment Analysis (ABSA) via Fine-Tuned Attention Mechanisms

Core Member, Quantitative Researcher (A-Shares Low Frequency)
Beijing Ruisheng Technology (PKU Quant Startup)
中国 北京
Standardized Multi-Factor Research System & Limit-Up Pricing Dynamics Library Machine Learning-Driven Predictive Modeling for Sector Momentum & Trend-Following Signals Full-Stack Automated Trading System for Limit-Up Capture & Real-Time Risk Control

Multi-Strategy Group Intern, Fixed Income Investment Center
中国 北京
LLM-Enhanced Black-Litterman Asset Allocation Model Integrating Qualitative Investor Insights Unstructured Textual Alpha Mining using Natural Language Processing & Sentiment Analysis Hierarchical Multi-Asset Portfolio Backtesting System with Significant Risk-Adjusted Alpha
笑冰 田's Contact Information
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