Chenhui Liu

Chenhui Liu

Risk Management Intern

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location of Chenhui LiuPutuo District, Shanghai, China

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  • Timeline

  • About me

    复旦大学 - Research Assistant

  • Education

    • Shanghai University SILC

      2007 - 2009
      SILC SILC
    • Kansas State University

      2010 - 2014
      Bachelor of Science (B.S.) Mathematics and Economics 3.2/4.0
    • Stevens Institute of Technology

      2016 - 2018
      Master's degree Financial Engineering 3.97/4.0

      Activities and Societies: • Graduate Fellowship (Top 5%) • Deputy Minister of Outreach in Chinese Student and Scholarship Association

  • Experience

    • Bank of Ningbo

      Jul 2014 - Nov 2014
      Risk Management Intern

      • Market Risk: Modified Value at Risk (VaR) model for multiple products: money market funds and equity portfolios• Liquidity Risk: Tracked floating rate (Libor) and exchange rate in Reuters System to provide liquidity risk warnings• Operation Risk: Maintained and monitored traders’ accounts, built archives management for counterparties• Credit Risk: Implemented and validated Credit Risk Scoring Models using Excel, modified Customer Assessment• Time Series Analysis: Implemented ARMA and ARMA to forecast future trend of asset price, provided early warnings Show less

    • Shanghai Modern Transport Human Resource Management Co., Ltd

      Feb 2015 - Nov 2015
      Data Analyst

      • Database Maintenance: Developed SQL database to store dispatched labor• Data Analysis: Prepared labor market survey report every month, applied statistical models to analyze current situation and predict future demand of market in transportation sector• Contract Management: Managed to prepared contract of dispatched labor, collected and invoked contract

    • Accenture

      Jun 2017 - Dec 2017
      Project Intern

      • Deep Learning: Implemented Neural Network Models to predict future returns of assets using Python• AI Design: Designed and developed Robo-Advisor with GUI to provide asset allocation and portfolio management by Black-Litterman Model using Python• Sensitivity Analysis: Validated the performance of NN Models with different market situation

    • Mingxi Capital Management

      Apr 2018 - Sept 2018
      Quantitative Researcher

      • Data Processing: Collected tick data of futures from exchanges and generated minutely data, web scraped volume ranking• Data Extract System: Designed and developed GUI to extract tick and minutely data from MongoDB database using Python• Market Rotation Modeling: Implemented wavelet analysis for noise reduction and SVM to divide market cycle• Quantitative Strategy: Implemented sector rotation and momentum model to select assets and generated trading strategy include position adjustment, stop-loss order and future return prediction Show less

    • Fudan University

      Apr 2019 - now
      Research Assistant

      • Web-scraping: Collected data using Python (Module: Selenium and Request) like Trump's Tweets, News of Belt and Road Initiative, products information from Taobao and JD and so on• SQL: Extracted mobile signal data from Oracle, hive and SQL Server database and analysed transportation method and customer flow during commuting in Yangtze River Delta• Data-cleaning/Data-mining: Collected company and economic data and composited panel data to analyse industry development and written as policy recommendations compared with foreign countries (pharmaceutical industry)• Data-cleaning/Data-mining: Collected county-leveled economic, election and Covid outbreak data and analysed the effect of Covid in US 2020 Election using PSM• US 2020 Election Prediction: Collected and tracked polls data and created data visualization report to show change of polls, Covid outbreak and presidential approval (http://www.ccda.fudan.edu.cn/index.php?c=article&id=109) Show less

  • Licenses & Certifications

    • Financial Risk Management

      Stevens Institute of Technology
      Jan 2018
    • Financial Service Analyst

      Stevens Institute of Technology
      Jan 2018