$ALPHA142.38 0.88%$SIGMA89.11 0.81%$GAMMA312.55 1.82%$DELTA47.92 2.20%$THETA201.04 0.22%$VEGA18.72 5.05%$BETA130.33 0.64%$KAPPA65.33 0.34%$OMEGA411.18 0.52%$ALPHA142.38 0.88%$SIGMA89.11 0.81%$GAMMA312.55 1.82%$DELTA47.92 2.20%$THETA201.04 0.22%$VEGA18.72 5.05%$BETA130.33 0.64%$KAPPA65.33 0.34%$OMEGA411.18 0.52%
OPEN TO 2026 INTERNSHIPS/FULL-TIME ROLES

Anthony Le

Applied Mathematician·Aspiring Quant Trader

I build quantitative models, trading systems, and data tools that bridge rigorous mathematics with real-world markets.

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> ABOUT_ME.md

About

Anthony Le

A math enthusiast passionate about solving complex financial problems. I'm a rising senior at Denison University double-majoring in Applied Mathematics and Financial Economics with a Computer Science minor, currently completing a year abroad at the London School of Economics & Political Science (General Course, 2026–27).

My academic focus centers on the intersection of rigorous mathematics and real financial markets — from stochastic processes and derivatives pricing to algorithmic strategy backtesting. I am excited to bring this foundation into a career as a quantitative trader at a prop trading firm.

Skills & Technologies

PythonC++RSQLLaTeXBlack-Scholes / BSMMonte Carlo SimStochastic CalculusOptions PricingPortfolio TheoryMarket MicrostructureNumPy / PandasSciPyStatsmodelsScikit-learnPlotlyStreamlitReal AnalysisLinear AlgebraProbability TheoryTime SeriesOptimizationMarkov Chains

Why Quantitative Trading?

The Math

Quantitative trading is where applied mathematics manifests in its purest, most immediate form—where stochastic calculus, linear algebra, and probability theory converge under adversarial market conditions.

The Problem

Markets are the world's largest distributed, adversarial optimization problem. Every tick is a puzzle, every position is a hypothesis. I thrive on solving problems where solutions must be engineered from first principles.

The Rigor

What attracts me most to proprietary trading is the uncompromising culture of objective correctness. The market doesn't care about elegant theories or academic credentials—it only cares if your edge is mathematically sound and flawlessly executed.

> EDUCATION.log

Education

Denison University

B.S. Applied Mathematics & Financial Economics | Minor, Computer Science

Aug 2023Aug 2027 Granville, OH GPA: 3.9/4.0
  • Coursework: Time Series Analysis, Probabilistic Modeling, Statistical Theory, Advanced Econometrics, Real Analysis, Advanced Linear Algebra, Advanced Differential Equations, Financial Markets, Data Structures, Data Systems.
  • Involvement: Denison Economics Fellow, Teaching Assistant (Mathematics & Economics), Docent (Admissions), Community Advisor (Housing), Student Ambassador (Annual Funds), Denison Investment Club.
Applied MathFinancial EconomicsCS Minor

London School of Economics & Political Science

General Course (Year Abroad)

Sep 2026Jun 2027 London, UK
  • Coursework: Financial Statistics, Risk Management and Modelling, Games and Economic Behaviour, Mathematics of Finance and Valuation, Computational Methods in Financial Mathematics
  • Involvement: Trading Society, Economics Society, Swimming, Athletics & Running, Dance
Financial MathematicsEconomicsLondon

Self-Study & Certifications

Certified Futures & Options Analyst (CFOA)
ICFDT
Grade A
Options 201
Akuna Capital
Top Performers
Advanced Calculus Pre-MFE
Baruch College
Distinction
ODE/PDE Pre-MFE
Baruch College
Distinction
Statistics Pre-MFE
Baruch College
Distinction
Numerical Linear Algebra Pre-MFE
Baruch College
Distinction
Stochastic Calculus
Quantopian
Excellence
Machine Learning in Finance
Quantopian
Excellence
Hands-On Machine Learning
Quantopian
Excellence
Bloomberg Market Concepts
Bloomberg
Financial Markets
Yale - Coursera
Corporate Finance
UPenn - Coursera
Bloomberg Finance Fundamentals
Bloomberg
Certified Futures & Options Analyst (CFOA)
ICFDT
Grade A
Options 201
Akuna Capital
Top Performers
Advanced Calculus Pre-MFE
Baruch College
Distinction
ODE/PDE Pre-MFE
Baruch College
Distinction
Statistics Pre-MFE
Baruch College
Distinction
Numerical Linear Algebra Pre-MFE
Baruch College
Distinction
Stochastic Calculus
Quantopian
Excellence
Machine Learning in Finance
Quantopian
Excellence
Hands-On Machine Learning
Quantopian
Excellence
Bloomberg Market Concepts
Bloomberg
Financial Markets
Yale - Coursera
Corporate Finance
UPenn - Coursera
Bloomberg Finance Fundamentals
Bloomberg

Honors & Awards

Top 27
CME Global University Trading Challenge
International2025
2x National Finalist
Vietnam's Math Olympiad
National2021 - 2022
2x Second Place
BoA - ECON Games
National2025 - 2026
Top 10
MIT Poker Bot 2026
School2026
Top 200 - US
IMC Prosperity 4
International2026
First Place
Denison Economics Challenge
School2025
Dean's List
Denison University
School5 semesters
2x Second Place
Four-College Math Competition
Regional2024 - 2025
Top 27
CME Global University Trading Challenge
International2025
2x National Finalist
Vietnam's Math Olympiad
National2021 - 2022
2x Second Place
BoA - ECON Games
National2025 - 2026
Top 10
MIT Poker Bot 2026
School2026
Top 200 - US
IMC Prosperity 4
International2026
First Place
Denison Economics Challenge
School2025
Dean's List
Denison University
School5 semesters
2x Second Place
Four-College Math Competition
Regional2024 - 2025
> EXPERIENCE.log

Experience

May 2026Jul 2026Work

Undergraduate Research Fellow

Denison University, Department of Economics · Granville, OH

  • Engineered a walk-forward pipeline in Python across 18 equities (∼72,000 observations), benchmarking 11 models of GARCH, HAR-RV, Random Forest, XGBoost, and LSTM with 96 monthly refits.
  • Constructed a 31-predictor feature matrix (volatility lags, return dynamics, microstructure, VIX signals); identified lagged realized volatility (28.5%) and 20-day maximum absolute return (18.6%) as the top predictors.
  • Designed four portfolio backtesting strategies with transaction-cost modeling; found that GJR-GARCH(1,1) with Variance-Risk-Premium strategies achieved the best trading performance (Sharpe 2.96).
PythonGARCHHAR-RVMachine LearningVolatility ForecastingBacktesting
Jun 2025Aug 2025Work

Investment Analyst & Trader Intern

Liberfield Capital · New York City, NY

  • Conducted equity research, performed macro analysis, and built valuation models (DCF, DDM, comps) for an investment pitch on Cameco (NYSE: CCJ) to the Managing Director and a panel of fund professionals.
  • Achieved 15% ROI on a $100K simulated portfolio over 4 weeks, trading futures and options strategies with 5 teammates.
  • Applied time-series models and factor analysis to macroeconomic indicators (GDP, CPI, rates, volatility) to anticipate market moves and support weekly investment committee meetings.
Equity ResearchValuationFutures & OptionsTime Series
Apr 2022Jan 2025Work

Founder & CEO

American Excellence · Quang Tri, Vietnam

  • Built and led a team of 8 tutors delivering 50+ IELTS preparation sessions weekly; designed 5 training programs to standardize quality.
  • Led a sales/marketing team of 3; acquired 250+ students; developed, executed, and managed 10+ targeted marketing campaigns on Facebook and Instagram, growing a combined social media following of 5,000+ users.
  • Generated $55,000+ in lifetime sales with a 30% margin; helped 100+ students achieve scores in the top 25th percentile.
FounderLeadershipMarketing
Projects

Quant finance builds, from live apps to work in progress.

Blog

Notes on markets, math, and models.

Quant Ground

Interactive drills and practice tools.

> CONTACT.sh

Let's Talk

Open to quant trading internships and full-time roles. Reach out through any of the channels below.

GitHub
@anthony-hn-le
LinkedIn
anthony-hn-le
Email
anthony.hn.le@gmail.com
Resume
View PDF

“In the short run, the market is a voting machine, but in the long run it is a weighing machine.”
— Benjamin Graham