Quantitative Researcher at NUS Investment Club (2025-08 – Present)
Developed quantitative trading models and deployed machine learning algorithms for live trading
- Created a walk-forward pair-trading model for BTC utilising the Ornstein-Uhlenbeck (OU) process to lower risk while maintaining good performance, achieving PnL of 1,978 and Sharpe of 9.40 with 10,000 principle
- Built and deployed machine learning models and live-trading algorithms in QuantChallenge 2025, ranking Top 4% among international teams
Mentee at Blockchain Guardians Mentorship Program (2025-07 – 2025-11)
Explored blockchain applications and cryptocurrency trading under mentor guidance
- Paired with a senior mentor to explore blockchain applications and career pathways through regular one-on-one sessions
- Inspired to devise a theoretical Python-based cryptocurrency trading model of BTC-USDT pair using one year of daily price data, achieving a simulated return of over 30% principal over a 3-month test period
- Received certificate by GFTN in graduation ceremony held in SFF 2025
Industry Analyst Intern at Heyi Investments (2024-07 – 2024-10)
Conducted industry research to support investment assessments
- Conducted industry research on 50+ companies to support strategic investment assessments
- Compiled and organised a robust dataset of over 1k lines, was later used in comparative cross-industry analysis by team
Risk Regulation Intern at Agricultural Bank of China (ABC) (2024-05 – 2024-06)
Shadowed risk regulation analysts and analyzed system-generated warnings
- Shadowed senior analysts at ABC's risk regulation department to understand regulatory response workflows
- Monitored handling of 50+ system-generated warnings and summarised common patterns in a personal learning journal, deepening understanding of risk classification and mitigation
