Liqian He
Boston,MA
Summary
Dynamic quantitative researcher with a proven track record at Hwabao Securities Institute, adept in Python, R, and SQL. Excelled in applying machine learning techniques and statistical analysis to forecast market trends, significantly contributing to high-profile reports. Demonstrated exceptional collaboration and data-driven decision-making skills, enhancing investment strategies and client satisfaction.
Overview
3
3
years of professional experience
Work History
Quantitative Research Intern
Hwabao Securities Institute
Shanghai, China
07.2023 - 09.2023
- Conducted comprehensive research on the hydrogen energy industry, collecting and analyzing data for reports and presentations
- Collaborated on generating reports, highlighting trends in both the hydrogen and aluminum sectors
- Utilized quantitative analysis techniques to develop and evaluate MACD technical indicators, using historical stock market data to inform potential trading strategies
- Applied data analysis tools and statistical methodologies to analyze overseas hydrogen energy sectors, contributing to informed decision-making for companies including ThyssenKrupp and Nel
- Played a key role in the creation of the '2023 Hydrogen Energy Industry Investment and Financing Review' report, providing valuable insights into market dynamics and investment opportunities
- Contributed to an in-depth project assessing the investment potential of the automotive aluminum sheet sector for 2023, utilizing data-driven approaches to inform analysis
Intern
Industrial and Commercial Bank of China (ICBC)
Shanghai, China
07.2021 - 08.2021
- Managed and facilitated the successful opening of over 100 new client accounts, ensuring adherence to bank regulations and customer satisfaction
- Effectively assisted clients with fund transfers, processing an average of 50 transactions weekly
- Provided personalized financial advisory services to 30+ clients, offering insights into various banking products and solutions
Intern
Shanghai Yongda Investment Management Co., Ltd
Shanghai, China
02.2021 - 03.2021
- Actively participated in project discussions and industry meetings, contributing to thorough project due diligence and interviews
- Expertly collected, cleaned, and validated diverse datasets from multiple sources
- Utilized Python and SQL to manipulate and manage data
- Employed machine learning techniques such as Random Forest and Gradient Boosting to construct predictive models
- Analyzed historical data to forecast market trends and potential outcomes
- Utilized statistical methods like regression analysis and clustering to extract insights and patterns from complex datasets
- Created comprehensive research frameworks, incorporating macroeconomic analysis, industry evaluation, and top-down company analysis
- Conducted detailed analyses of specific enterprises, employing relative valuation methods such as Price-to-Earnings ratios and Discounted Cash Flow models to assess company value
Education
Master of Science - Applied Data Analytics
Boston University
Boston, MA06-2025
Bachelor of Arts - Quantitative Economics
University of California, Irvine
Irvine, CA06.2024
Skills
- R
- SQL
- Python
- Excel
Timeline
Quantitative Research Intern
Hwabao Securities Institute
07.2023 - 09.2023
Intern
Industrial and Commercial Bank of China (ICBC)
07.2021 - 08.2021
Intern
Shanghai Yongda Investment Management Co., Ltd
02.2021 - 03.2021
Master of Science - Applied Data Analytics
Boston University
Bachelor of Arts - Quantitative Economics
University of California, Irvine
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