Programming
Python, R, SQL, Kotlin, JavaScript.
Python
R
SQL
Finance & Quant Econ
Henry Wong
Finance & quant economics student focused on systematic strategies, econometric modeling, and data systems that support real-world decisions.
Focus
Systematic Trading
Methods
Econometrics + Time Series
Strength
Data + Infrastructure
Highlights
- Quant trading systems with backtesting discipline
- Econometric modeling for causal and time-series insight
- Low-latency infrastructure and monitoring
Signal Snapshot
I prioritize interpretable models over black boxes.
About
Finance + econometrics with a focus on practical outcomes.
I’m a finance and quantitative economics student who enjoys turning messy data into clean, actionable signals. My work spans systematic trading, econometric modeling, and building the data systems that keep analysis dependable. I care about rigorous diagnostics, realistic assumptions, and communication that helps teams act with confidence.
What I value
- Evidence-based decisions and transparent methods
- Models that are interpretable and stress-tested
- Systems that keep data reliable
Skills
A toolkit built for quant finance and applied econometrics.
Data
Pandas, NumPy, scikit-learn.
Pandas
NumPy
scikit-learn
Quantitative
Econometrics, time-series analysis, regression, hypothesis testing, optimization.
Econometrics
Time Series
Trading & Systems
Systematic strategies, backtesting, risk management, APIs, Linux, Git.
Backtesting
Risk
APIs
Applied Experience
Projects and analysis grounded in data.
Founder & Quantitative Developer
2023 — PresentSprout Network Solution · Hong Kong SAR
- Designed and operated low-latency network infrastructure for data-intensive, trading-oriented clients.
- Optimized routing, redundancy, and monitoring for real-time systems; maintained 99.9% uptime.
- Implemented performance logging, capacity planning, and risk controls across distributed services.
Quantitative Analytics Intern
2023.05 — 2023.08Tencent · Shenzhen, China
- Analyzed large-scale behavioral and bidding datasets (5M+ observations) using Python and SQL.
- Built regression models and statistical summaries to evaluate engagement and pricing efficiency.
- Designed and evaluated A/B experiments; translated results into actionable optimization insights.
Projects
Personal and academic work.
Quant Trading Bot
Systematic multi-asset trading framework for crypto and U.S. equities using exchange and broker APIs.
Implemented momentum, mean-reversion, and volatility-targeting strategies with risk limits and walk-forward evaluation.
Campus Polling App
Real-time data collection platform for campus surveys with structured ingestion and analysis.
Collected datasets from 200+ users and performed exploratory and summary statistical analysis.
School Weather App
Personal school project: a campus weather dashboard with live forecasts and alerts, used daily by classmates and faculty.
weather.swisvip.eu.orgEducation
University of Illinois Urbana-Champaign
B.S. in Quantitative Economics & Econometrics
2024 — 2026 · GPA 3.97 / 4.00
James Scholar Honors · Dean’s List
Coursework: Econometrics I–II, Probability Theory, Mathematical Statistics, Time Series Analysis, Optimization, Algorithms
Focus Areas
- Econometrics and causal inference
- Financial markets and valuation
- Time-series forecasting
Publications
Selected research writing.
Henry Wong. “Blockchain technology in smart cities and photovoltaic power generation.” Journal of Smart Cities (2023).
Contact
Open to finance, quant, and research opportunities.
If you’re hiring for a role that needs rigorous analysis and clear communication, let’s connect.
Email: henryw7@illinois.edu
Phone: (+1) 217-904-2822