About me
“Hello and welcome! I’m Liu Jiaqi, an M.Sc. in Artificial Intelligence student at The University of Hong Kong. With a background in Financial Mathematics, I bring a unique blend of mathematical expertise and programming skills to the field.
My research interests center around Machine Learning and Big Data Analysis, and I am passionate about exploring the applications of AI in finance.
Let’s embark on this exciting journey together to make a meaningful impact through innovative solutions and data-driven insights.”
Education
The University of Hong Kong
M.S., Artificial Intelligence
Sep. 2022 - Present
Zhengzhou University
B.S., Financial Mathematics(First class Scholarship)
Sep. 2018 - Jun. 2022
Intern
Sionlink Securities
‧ Employed the MADDPG algorithm for quantitative trading strategy design and testing.
Financial Engineering Intern, Feb. 2023 - May. 2023
‧ Assisted analysts in the research and development of quantitative investment strategies, applying LSTM to the entropy pool model.‧ Employed the MADDPG algorithm for quantitative trading strategy design and testing.
Shenzhen Flying Tiger Investment & Management
‧ Assisted in screening investment projects using decision tree algorithms.
Innovative Finance Division Intern, Jul. 2021 - Sep. 2021
‧ Used MySQL database tools to model and analyze the bank's customers.‧ Assisted in screening investment projects using decision tree algorithms.
Research
Regulatory Strategy Analysis of E-Commerce Platform Based on Evolutionary Game Theory, 2020 - 2021
‧ Constructed a three-party dynamic model based on the evolutionary game theory.‧ Utilized Maple and Python to process and simulate the model, analyze stability strategies and behavior evolution.
‧ Proposed solutions and drafted papers in LaTeX.