Chen Liang

Vice President at Rayliant Global Advisors
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Contact Information
Location
Los Angeles, California, United States, US
Languages
  • English -
  • Chinese Native or bilingual proficiency
  • Japanese Limited working proficiency

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Credentials

  • Financial Risk Manager (FRM®)
    GARP FRM Program
    Feb, 2020
    - Sep, 2024

Experience

    • United States
    • Financial Services
    • 1 - 100 Employee
    • Vice President
      • Sep 2018 - Present
    • Australia
    • Financial Services
    • 1 - 100 Employee
    • Senior Risk Analyst
      • Sep 2017 - Jul 2018
    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Complex Securities Analyst
      • Feb 2016 - Jul 2017

      • Conducted quality evaluation of complex securities such as exotic options, convertible bonds, performance-based awards, warrants and so on for financial reporting, tax and merger and acquisition purposes • Engaged in valuation of convertible debt securities with complex features and hybrid securities using quantitative techniques such as Monte Carlo simulation and multivariate statistics in MATLAB • Performed valuation and modeling of complex capital structures instruments, incentive stock compensation and embedded derivatives Show less

    • United States
    • Financial Services
    • 700 & Above Employee
    • Risk Analyst Intern
      • Jun 2015 - Sep 2015

      • Experienced with big data and tried different methods to improve model performance and efficiency • Built gradient boosting machine (GBM) fraud model, and outperformed existing logistic regression model by over 30 percent • Compared GBM with other various techniques of data mining such as random forest and neural network • Held a training session for the modeling group to demonstrate work procedure and performance • Presented GBM research results to team • Experienced with big data and tried different methods to improve model performance and efficiency • Built gradient boosting machine (GBM) fraud model, and outperformed existing logistic regression model by over 30 percent • Compared GBM with other various techniques of data mining such as random forest and neural network • Held a training session for the modeling group to demonstrate work procedure and performance • Presented GBM research results to team

    • United States
    • Financial Services
    • 100 - 200 Employee
    • Internship
      • Jun 2014 - Oct 2014

      • Coordinated fund-raising product designs and drafted the preliminary assessment to demonstrate in the seminar. • Studied the IPO process in the over-the-counter market in order to standardize the criteria. • Sorted and dissected the financial statement of companies preparing for an IPO. • Coordinated fund-raising product designs and drafted the preliminary assessment to demonstrate in the seminar. • Studied the IPO process in the over-the-counter market in order to standardize the criteria. • Sorted and dissected the financial statement of companies preparing for an IPO.

    • China
    • Investment Banking
    • 100 - 200 Employee
    • Summer Intern
      • May 2012 - Jul 2012

      • Monitored serial research analysis in marketing new product line in hedge fund • Filed historical portfolio investment strategies associated with the market tendency • Collected, conducted and analyzed company daily transaction using Excel to generate fluctuation • Assessed and evaluated risk and hedging strategies for Noah Wealth Management. • Monitored serial research analysis in marketing new product line in hedge fund • Filed historical portfolio investment strategies associated with the market tendency • Collected, conducted and analyzed company daily transaction using Excel to generate fluctuation • Assessed and evaluated risk and hedging strategies for Noah Wealth Management.

Education

  • University of California, Los Angeles
    Master of Financial Engineering, Financial Engineering
    2014 - 2015
  • University of Toronto
    Bachelor of Applied Science (B.A.Sc.), Applied Mathematics
    2010 - 2014

Community

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