Xiao Wang
Lead Quantitative@ Wells Fargo
San Francisco Bay Area
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Xiao Wang is a highly experienced professional with 16.9 years of work experience in various fields such as SAS, data mining, statistics, statistical modeling, and R. He has a strong background in model development, analytical analysis, and risk management. Xiao has worked in renowned companies like Wells Fargo, Bank of America, and Adeptra, where he held positions such as Lead Quant, Senior Quant Financial Analyst, and Senior Quantitative Analyst. He is skilled in machine learning algorithms, statistical techniques, and regulation model development. Xiao is goal-oriented, goal-oriented, and has a solid understanding of statistical techniques.
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Emails and Phone Numbers

@wellsfargo.com
@gmail.com
+1 916835****
+1 334774****
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About

• 10+ years’ experience in model development, analytical analysis, 8 years risk management experience and 2+ years project lead experience.• Excellent at machine learning algorithms such as decision tree model (CHAID&CART) and neural networks model• Goal-oriented with solid understanding of statistical techniques such as the logistic regression model, the generalized linear model (GLM), cluster analysis and discrimination analysis• Expertise in regulation model including CCAR/PPNR, CECL, Basel models and loss forecasting methods• Solid understanding of origination and behavior scorecard development• Significant experience with SAS modules and programming experience in Python, R, Java, LATEX, SQL

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Work Experience

420 Montgomery St, San Francisco, California, 94103, US

Financial Services

199344
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Xiao Wang's Professional Milestones

  • Teaching Assistant (2007-01-01~2010-05-01): Assisted in delivering comprehensive educational programs and contributing to the academic community.
  • Risk Analyst (2011-12-01~2012-10-01): Developing comprehensive risk assessment tools to mitigate potential threats and safeguard organizational assets.
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