Sean Chiang | Quantitative Finance

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Sean Chiang

Quantamental

About Sean

Passionate about data science in financial domain. Currently studying Computational Finance at City University of Hong Kong.

His achievements include being the Global 1st Runner-up in the Point 72 x Fidelity x AIBC Asset Management Competition, reaching the Top 10.08% in the International Quant Championship, and working as an Ex-SFC Type 1 Licensed Professional.

Download CV

Interests

Machine Learning
Mountaineering
Violin
Volunteering
Technology Innovation

Education

BSc. Computational Finance and Financial Technology
City University of Hong Kong
High School - Class of Biology
Queen's College Hong Kong

📊 Research Focus

I focus on applying computer science and statistical techniques in financial domain.

My research interests include:

Bayesian Statistics
Data Architecture
Machine learning for Asset Pricing and Panel Data
Portfolio Management

I’m currently working on a graduation thesis in Machine Learning for Asset Pricing.

Please feel free to contact me if you are interested in discussing these!

Featured Publications

Research in IEEE Big Data Conference 2024

Improving the data quality of financial time series generative models for quantitative finance applications.

Nov 1, 2024

Interpretable Synthetic Data for Quantitative Finance: A Review and Case Study

A review and case study on interpretable synthetic data generation techniques for quantitative finance applications.

Sep 1, 2024

U.S. Department of Commerce Market Intelligence Research

Market intelligence reports on Hong Kong's EdTech sector and carbon market opportunities developed during an internship at the U.S. Department of Commerce.

Jun 23, 2022

Conference Engagements / Presentations