adenmao1202
Quantitative Researcher
NCCU Economics & Fintech graduate and Quantitative Researcher transitioning into Data Science, with 2+ years of experience in high-frequency time-series modeling and feature engineering. Expert in architecting production-grade ML pipelines and formulating complex behaviors into mathematical objectives. Proven track record of handling massive datasets, improving system predictive power by 30% through advanced statistical inference.
Experience: 2 years
Yearly salary: $50,000
Hourly rate: $20
Nationality: 🇹🇼 Taiwan
Residency: 🇹🇼 Taiwan
Experience
Quant Researcher Intern
Enlightment Quant 2025 - 2026
Redefined the abstract financial problem of “price support and resistance detection” into a high-precision Volume Prediction Task. Developed models to predict the distribution of accumulated volume by processing and analyzing raw tick-level data, enhancing the accuracy of behavioral trend identification.
Quantitative Researcher Intern
SQM Technologies 2025 - 2025
Built a time-series forecasting model to predict 1–30 min price direction volatility and total volatility using pre-market Limit Order Book (LOB) data, achieving a 0.9+ correlation with target. Engineered 40+ high-frequency LOB features with strong Information Coefficient (IC) and Information Ratio (IR), outperforming the baseline model by over 30%.
Quantitative Trading Trainee
Kronos Research 2024 - 2025
Discovered and validated Orderbook alpha signals through rigorous time-series factor analysis. Hackathon Achievement: Implemented mid-frequency intraday CTA signals during a one-week Hackathon, resulting in a 2% profit margin within one week Hackathon.
Quant Team Lead
Quant Devops 2024 - 2025
Led a cross-functional team of 6 (developers and researchers) to architect and deploy automated, data-driven systems for digital asset exchanges. Identified market inefficiencies through statistical arbitrage and market-making strategies, maintaining a maximum drawdown (MDD) of only 2% through robust risk modeling.
Skills
linux
machine-learning
pytorch
data-science
english