currently
- index arbitrage trader: developing strategies for trading stocks vs future and ETFs vs future
- education program: covered options theory, simulated options trading, low-latency execution project, and HFT stock valuation
previously
- trained ML models to improve overnight exotic option pricing resulting in 10% increase in accuracy
- constructed dashboard to track estimated counterparty PnL per instrument
- analysed options market flows to inform main desk trading decisions
- comprehensive options theory education program: focus on pricing models, Greeks, and risk management
- project: statistical arbitrage strategy for trading futures on Hong Kong indices
- project: developed market-making autotrader for a simulated market with best performance in intern program
- trading: 5 weeks trading HSI index options using live market data in a simulated environment
- created locally-hosted dashboard for tracking performance metrics, saving +$100 per month vs. equivalent subscription service
- conducted pricing and turnover analysis for inventory management
education
Bachelor of Actuarial Studies / Bachelor of Economics
Major: Econometrics & Data Analytics
featured
First Place: UNSW Actuarial Datathon
T3 2025
- competed against 35+ undergraduate and postgraduate teams
- developed a leading model to predict the conversion rate of travel insurance quotes
- identified key factors affecting conversion rate
- created dashboard featuring live data and model predictions, demonstrating real-world business case
other achievements:
- Highest Student Mark: FINS3666 (Trading and Market Making) - T3 2024
- Best Individual Speaker: Charity Pinnacle x I4C Charity Case Competition - T1 2022
projects
Phoros
Self-Built Quantitative Trading Stack
- Rust-based data pipeline on remote server handles ingestion, parsing, and cloud storage
- local ZeroMQ server handles real-time data streaming and model outputs
- comprehensive research base covering MFT strategies, realised volatility forecasting, and prediction markets
- Python-based backtesting framework with robust market execution
Australian Climate Variability Index
Exploratory Analysis and Dashboard for Climate Data focussing on
Agricultural Regions
- automated data scraping from open-meteo.com for daily weather data across key agricultural regions
- performed exploratory analysis on the data to identify key trends and relationships
- created online interactive dashboard using Dash to visualise key findings
Sports Prediction Models
Predicting Outcomes of EPL Matches with Machine Learning
- utilised historical data to build models to predict a wide range of outcomes, including match results, goal differences, and player performance
- aim to expand to AFL markets by mid-2026 for mid-game comparison with live Betfair odds