Qinglan Yang
Boston,MA
Summary
MS in Quantitative Finance (STEM) candidate with experience using Python, MATLAB, Ms Office, Tableau, and SQL. Learned and applied Optimization, Time Series Analysis, and Stochastic Processes in Python. A quick learner and team player with solid research, communication, and time management skills. Utilized valuation methods to deliver investment reports and presentations. Algorithm traded funds that provided liquidity to ETFs, processed data, and analysis on bond pricing. Possesses M&A knowledge of food and condiments in the primary market.
Overview
2
2
years of professional experience
Work History
Junior Analyst
360 Huntington Fund
01.2023 - 04.2023
- Utilized comprehensive knowledge of financial concepts, valuation methods, and investment analysis to conduct thorough stock analysis using DCF, DDM, and PE multipliers.
- Conducted extensive research on financial statements, market trends, industry dynamics, and economic indicators to gain insights into companies' financial health and prospects.
- Prepared detailed reports and presentations that captured my findings, insights, and investment recommendations, which were presented to fund's investment committee.
Quantitative Trader
SHANGHAI WEIJING INFORMATION TECHNOLOGY CO. LTD
07.2021 - 06.2022
- Traded 3 funds focusing on providing liquidity, with a daily trading volume of over 8 million RMB (more than 1 million USD) for over 5 months, ensuring smooth execution of institutional transactions.
- Utilized Python and SQL to join bond data from more than 20 tables in the database provided by the data provider (WIND), creating comprehensive and updated 3-year daily data (more than 20 columns) for analysis, and automated the process for daily data download to convenient colleagues.
- Participated in the company's bond curves research using the NSS model in MATLAB and Python.
Industry Analyst Assistant
ZHEJIANG CEXIN CAPITAL CO. LTD
07.2020 - 12.2020
- Presented oral and written reports on general economic trends, individual corporations, and entire industries.
- Utilized formulas such as VLOOKUP in EXCEL, established a simplified version of the analysis template for the monthly data of accounts receivable of more than a thousand customers. The time for the leader to process and analyze the data was significantly shortened from more than 3 hours to less than 1 hour.
Education
Master of Science - Quantitative Finance
NORTHEASTERN UNIVERSITY
Boston12.2023
Bachelor of Science - Finance
SICHUAN UNIVERSITY
Sichuan, China06.2020
Skills
- Python, MATLAB, SQL
- Microsoft Office, Tableau
- Data Analysis, Quantitative Modeling, Analytical thinking
- Finance Analysis
- Portfolio Management
- Team Collaboration
Certification
Bloomberg Market Concepts
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