Selina Xu

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  个人资料

Selina Xu currently works as a research assistant in University of California Berkeley. She holds a Master of Financial Engineering degree from Haas School of Business, University of California Berkeley, and a Bachelor degree in Finance from Fudan University.

  教育背景

  • 2009.09 - 2010.08
        金融工程
    加州大学伯克利分校
  • 2005.09 - 2009.06
        金融学
    复旦大学

  有问必答

Q : Could you explain the difference between Master of Science in Finance and Master of Financial Engineering?

A : Master of Science in Finance (MSF) is opened in Business School, which emphasize more on the overall quality of applicants. MSF courses include risk management, mergers and acquisitions, financial derivative securities, financial statements, corporate decision-making management and investment analysis, etc. It requires applicants have very good interpersonal communication skills, because they often need to contact with their clients frequently in the future career. Master of Financial Engineering (MFE) is a multi-disciplinary program that combines finance, mathematics, and computing with a practical orientation to solve problems in finance, which usually provided in the Department of Mathematics or Engineering, while sometimes also Business school. MFE put more emphasis on the applicants’ mathematics and computing background. The main courses are partial differential equations, real variable, stochastic processes, and data mining, and so on. Career opportunities for the graduates are available worldwide in hedge funds, investment banks, brokerage and securities firms, etc., usually revolving around product structuring, risk management, quantitative trading, quantitative research as well as other areas in high-technology finance.

Q : Briefly introduce your experience as a research assistant.

A : The experience of research assistant is a highly effective path to apply higher academic qualifications such as a PhD program. You can also determine if you are really suitable for academe through the RA job. My main work is to conduct a literature review, data processing and analysis using SAS and Stata. Proficiently using various databases such as Bloomberg, DataStream, Thomson Reuters, FactSet, Wind is very necessary. Our research works have appeared in sereral top-tier finance journals such as Journal of Finance, Journal of Financial Economics, Journal of Financial and Quantitative Analysis, etc.

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