Ming Shi

Ming Shi Email and Phone Number

Managing Director at EY | Capital Market and Digital Assets @ EY
Ming Shi's Location
New York, New York, United States, United States
Ming Shi's Contact Details

Ming Shi work email

Ming Shi phone numbers

About Ming Shi

Math PhD specialized in front office derivative and XVA pricing, market risk and counterparty credit risk modeling. Crypto enthusiast and DeFi protocol researcher

Ming Shi's Current Company Details
EY
Managing Director at EY | Capital Market and Digital Assets
Ming Shi Work Experience Details
  • Ey
    Managing Director
    Ey Jan 2010 - Present
    London, Gb
    Providing advisory services to major investment banks in the development and review of quantitative models including derivative pricing, CVA and counterparty credit risk, market risk, funding costs and margin modeling.

Ming Shi Skills

Quantitative Finance Risk Management Financial Engineering Derivatives Probability Theory Fixed Income Market Risk Data Analysis Matlab Monte Carlo Simulation Financial Modeling Stochastic Analysis Investments Statistical Modeling Vba Chinese Culture History

Ming Shi Education Details

  • Rutgers University
    Rutgers University
    Mathematics
  • Fudan University
    Fudan University
    Mathematics
  • Fudan University
    Fudan University
    Mathematics

Frequently Asked Questions about Ming Shi

What company does Ming Shi work for?

Ming Shi works for Ey

What is Ming Shi's role at the current company?

Ming Shi's current role is Managing Director at EY | Capital Market and Digital Assets.

What is Ming Shi's email address?

Ming Shi's email address is mi****@****ail.com

What is Ming Shi's direct phone number?

Ming Shi's direct phone number is +184839*****

What schools did Ming Shi attend?

Ming Shi attended Rutgers University, Fudan University, Fudan University.

What skills is Ming Shi known for?

Ming Shi has skills like Quantitative Finance, Risk Management, Financial Engineering, Derivatives, Probability Theory, Fixed Income, Market Risk, Data Analysis, Matlab, Monte Carlo Simulation, Financial Modeling, Stochastic Analysis.

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