Vincent Tang

Vincent Tang Email and Phone Number

VP, Global Equity Research at Acadian Asset Management @ Acadian Asset Management
Vincent Tang's Location
Greater Boston, United States, United States
About Vincent Tang

Extensive experience in quantamental investing, equity factor research, machine learning, NLP, portfolio management and risk management.

Vincent Tang's Current Company Details
Acadian Asset Management

Acadian Asset Management

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VP, Global Equity Research at Acadian Asset Management
Vincent Tang Work Experience Details
  • Acadian Asset Management
    Vp, Associate Portfolio Manager
    Acadian Asset Management Oct 2021 - Present
    Boston, Ma, Us
    Systematic Global Equity Research; Alpha Research.
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  • Alliancebernstein
    Quantitative Researcher
    Alliancebernstein Oct 2018 - Oct 2021
    Nashville, Tn, Us
    Alternative Data and NLP research; Equity and Fixed Income Manager Selection.
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  • Finra
    Quantitative Research Analyst
    Finra Nov 2017 - Oct 2018
    Washington, District Of Columbia, Us
    NLP Fraud Detection; ML Predictive Modeling.
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Vincent Tang Skills

C++ Python Matlab Microsoft Excel Machine Learning Algorithmic Trading C Visual Basic For Applications Java Data Analysis Microsoft Office Data Mining Quantitative Investing Financial Modeling Optimization Portfolio Management

Vincent Tang Education Details

  • Cornell University
    Cornell University
    Financial Engineering
  • Wuhan University
    Wuhan University
    Finance

Frequently Asked Questions about Vincent Tang

What company does Vincent Tang work for?

Vincent Tang works for Acadian Asset Management

What is Vincent Tang's role at the current company?

Vincent Tang's current role is VP, Global Equity Research at Acadian Asset Management.

What schools did Vincent Tang attend?

Vincent Tang attended Cornell University, Wuhan University.

What skills is Vincent Tang known for?

Vincent Tang has skills like C++, Python, Matlab, Microsoft Excel, Machine Learning, Algorithmic Trading, C, Visual Basic For Applications, Java, Data Analysis, Microsoft Office, Data Mining.

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