Open to opportunities

Thành Nguyễn

@thnhnguyn

Message

I build live systematic trading systems and optimization research for financial and humanitarian applications.

Vietnam

Message

What I'm looking for

I'm seeking doctoral research and high-impact work applying mathematical optimization, data science, and systematic trading to financial markets, post-disaster emergency response, and early-stage technology ventures.

I've built and deployed systematic crypto trading systems at Talyxion, including MFT and HFT bots across 82+ Binance and Gate.io perpetual futures. My live strategies achieved Sharpe ratios of 2.46 for trend-following and 3.38 for grid market making, while PROPHET ranked in the top 1.24% of Polymarket traders with a 2.14 on-chain Sharpe.

As Head of Trading at Coinlion, I designed systematic crypto strategies, built pipelines spanning data processing, backtesting, optimization, and live deployment, and managed portfolio risk for a $20M AUM. At BeeTrade, I develop medium-frequency strategies and agent-based models for execution, market making, and dynamic risk control.

I've also built secure pipelines covering 9M+ patents at Clean Assets Management and helped WorldQuant reduce alpha-validation time by 80% through a mechanized research and backtesting framework. My research spans portfolio optimization, market microstructure, prediction markets, machine learning, multi-agent systems, and disaster emergency response.

I'm pursuing doctoral study in Data Science and Operations Research, with a research focus on post-disaster emergency response. Long term, I want to connect rigorous mathematical optimization with trading, humanitarian operations, and technology ventures.

Experience

Work history, roles, and key accomplishments

Current

AI Solutions Architect

Current

Clean Assets Management LLC

Jun 2025 - Present (1 year 2 months)

Built secure data pipelines ingesting and enriching 9M+ patents across top U.S. universities, enabling scalable asset discovery across 100+ academic sources. Applied deep learning to rank intangible assets by commercial potential and conducted AI-assisted valuations.

Data Pipelines Deep Learning Valuation Patent Data AI Assisted Valuation

Current

Senior Quant Researcher

Current

Beetrade

Jun 2025 - Present (1 year 2 months)

Developed medium-frequency trading strategies for multiple crypto assets and market regimes. Conducted agent-based trading research for execution, market making, and dynamic risk control, and reviewed quantitative finance literature.

Market Making Risk Control Quantitative Research

Current

Co-Founder & Quantitative Researcher

Current

Talyxion LLC

Jul 2024 - Present (2 years 1 month)

Built and deployed MFT and HFT crypto trading bots across 82+ perpetual futures on Binance and Gate.io, achieving live Sharpe ratios of 2.46 and 3.38. Developed PROPHET, a multi-modal ML system for Polymarket trading with live on-chain Sharpe 2.14, and commercialized feature pipelines as data-as-a-service.

MFT HFT Crypto Trading Binance Gate.Io Machine Learning Portfolio Management Risk Management

Head of Trading

Coinlion

Jun 2025 - Mar 2026 (9 months)

Designed and developed systematic crypto trading strategies using technical indicators, statistical models, and machine learning. Built end-to-end model pipelines from data processing to live deployment, and managed portfolio risk and exposures.

Systematic Trading Statistical Modeling Machine Learning Data Pipelines Portfolio Risk Management

Research Consultant

WorldQuant

Mar 2023 - Mar 2025 (2 years)

Created novel quantitative strategies aimed at optimizing investment performance. Established a mechanized framework for creating, analyzing, and backtesting quantitative models, reducing alpha validation time by 80%.

Strategy Back Tests Framework

Quant Researcher

Quantiacs

Aug 2019 - Sep 2022 (3 years 1 month)

Conducted quantitative research and developed algorithmic trading strategies on Quantiacs, an open-source platform. Utilized the research environment and backtest engine to design, backtest, and optimize alpha signals using fundamental data and machine learning.

Algorithmic Trading Strategy Back Tests Fundamental Data Machine Learning

Education

Degrees, certifications, and relevant coursework

Tsinghua University

Doctor of Philosophy, Data Science and Operation Research

2026 - 2029

Pursuing a PhD in Data Science and Operation Research with coursework in Discrete-Event Simulation, Operations Research Methods, and Agent-based Simulation Methods.

ACM ASEAN School

2025 - 2025

Visiting student at ACM ASEAN School in March 2025.

Vietnam National University

Master of Science, Computer Science

2023 - 2025

Grade: 3.53/4

Master's degree in Computer Science with a GPA of 3.53/4. Coursework includes Artificial Intelligence, Statistical Machine Learning, Natural Language Processing, Optimization, and Blockchain.