Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise. Brings positive attitude and commitment to continuous learning and growth.
Overview
3
3
years of professional experience
Work History
Central District Branch Intern
Bank of China (Shenzhen)
12.2024 - 01.2025
Participate in the reception of foreign customers and middle-aged and elderly customers in the lobby of bank branches, solve their business consultation and handling problems, improve customer satisfaction, and receive letters of praise from customers.
Assist in the collection and organization of risk data, participate in multi-channel information collection, participate in the credit assessment and mining of potential customers, analyze relevant information, mark potential risk points, improve efficiency and save time for the team.
Intern at Fixed Income Financing Department
China Merchants Securities Investment Banking Head
06.2024 - 07.2024
Securities issuance manuscript writing: Assist the manager in collecting and writing bond investment banking project issuance manuscript materials.
Data processing and integration: Responsible for collecting and organizing various data in the fixed income market, covering bond issuance, transaction prices, yields, etc., using Python for data cleaning, effectively identifying and correcting erroneous data, and improving data accuracy to 97%, providing a reliable data basis for subsequent analysis.
Internet Finance/Wealth Management Department
Great Wall Securities Shanghai Branch
07.2023 - 08.2023
Securities issuance manuscript writing: Assist the manager in collecting and writing bond investment banking project issuance manuscript materials.
Data processing and integration: Responsible for collecting and organizing various data in the fixed income market, covering bond issuance, transaction prices, yields, etc., using Python for data cleaning, effectively identifying and correcting erroneous data, and improving data accuracy to 97%, providing a reliable data basis for subsequent analysis.
Research Group Leader
New York University
01.2023 - 05.2023
Research topic: Deep integration of finance and AI financial quantitative investment analysis and research based on big data and machine learning.
Comparative analysis of the effects of LSTM & buy-and-hold strategy, MVO & Risk Parity, and the use of the obtained data to build the most profitable asset portfolio. Write and publish the related paper Portfolio Optimization Based on 10 US Stocks.
Quantitative Research Group Intern
Futu Network Technology (Shenzhen) Co., Ltd.
05.2022 - 08.2022
Assist senior quantitative analysts in conducting quantitative strategy research, collect and analyze historical data of the US and Hong Kong stock markets, including stock prices, trading volumes and other data, and process tens of millions of data in total. Use Python to collect, organize and clean Hong Kong stock data, build factor models with deep learning neural networks, participate in the company's Hong Kong stock pool construction and five quantitative stock selection strategies, and after backtesting, the annualized yield accuracy of the forecast strategy reached more than 95.7%.
Track financial engineering and quantitative investment results at home and abroad, combine quantitative price factors, DuPont analysis, etc., conduct case analysis on Hong Kong stock secondary industry companies, and help promote the progress of the group project. Track financial engineering and quantitative investment results at home and abroad, and assist team members in completing quantitative investment strategy model construction, backtesting, tracking and other tasks.
Research Assistant
CAS Research Center
12.2021 - 05.2022
Be familiar with the background materials of the subject and learn related basic theoretical knowledge (financial time series, stock price prediction, deep learning, self-attention mechanism, quantitative trading), experimental methods and analysis of related software python, pycharm in-depth usage (prediction and drawing) and machine learning theory and application.
Have a deep understanding of deep neural network (DNN) and LSTM model, and introduce the Attention mechanism. By improving the Self-Attention model, understand the impact of changes in capital flow on stock trend changes and make effective predictions. After the completion of the subject, publish a paper, 'Stock quantitative prediction analysis method based on deep learning Transformer self-attention mechanism' in IEEE.
Education
Master of Science - Business Analytics
University of New South Wales
Sydney, NSW
09.2025
Bachelor of Science - Financial Engineering
The Chinese University of Hong Kong, Shenzhen
07.2024
Skills
Friendly, positive attitude
Teamwork and collaboration
Customer service
Problem-solving
Flexible and adaptable
Multitasking
Organization and time management
Programming: Python, STATA, MATLAB, R, SAS, SQL
Languages
Chinese
Native or Bilingual
English
Full Professional
Chinese (Cantonese)
Limited Working
Japanese
Elementary
Korean
Elementary
Interests
Music
Photography
Creating digital artwork using software like Photoshop, Illustrator, or Procreate
Dance
Fashion
Swimming
Team Sports
Timeline
Central District Branch Intern
Bank of China (Shenzhen)
12.2024 - 01.2025
Intern at Fixed Income Financing Department
China Merchants Securities Investment Banking Head
Quantity Surveyor at China Construction Third Engineering Bureau Co., Ltd, Shenzhen BranchQuantity Surveyor at China Construction Third Engineering Bureau Co., Ltd, Shenzhen Branch