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数据分析
Abbey
133-333-3333
success@jobmail.vip
EDUCATION
XXXX University
Jan 2015
-
Jan 2019
Relevant Coursework:
Econometrics(98), Financial Derivatives(95), Financial Market and Institution(95), Advanced Macroeconomics(94), Corporate Finance(93), Applied Economy(93), Organizational Behavior(92), C++ Programming Language(91)
PROFESSIONAL EXPERIENCE
XXX Finance Company
Apr 2018
-
Aug 2017
Finance Dpt.
Beijing
- Checked and proofread details of invoices and purchase orders on monthly basis to ensure payments accurate andstrengthen collaboration between 20+ suppliers and the company;
- Collected and analyzed order information (e.g. customers distribution) and then applied VBA and PivotTable etc.tools to build a preliminary Charging Station Distribution Database.
- Fulfilled supporting job: translated project description, edited PPT, and handled data to ensure projects run smoothly.
XX Asset Management
Aug 2017
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Apr 2018
Fiance Dpt.
Beijing
- Applied Excel tools to collect financial data and assisted colleagues to assemble figures for financial statement;
- Maintained company’s financial system: updated financial data, proofread figures and balance in Balance Sheet etc.
- Quickly cultivated insight into Asset Management companies: learnt about the risk management, the use of
financial quantitative tools, and asset allocation in secondary market stocks based on quantitative methods.
SELECTED EXTRA-CURRICULAR PRACTICES
XX Volunteer Team
Aug 2018
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Apr 2019
- Wrote articles regarding stray cat adoption and post to WeChat Public Account; Regularlymanaged adoption-related info.
- Actively participated in offline volunteer activities: prepared food and water for stray cats on the street etc.
RESEARCH EXPERIENCE
XX Research Project
Feb 2019
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May 2019
- Collect data from Chinese Stock market and apply SAS tools to explore the supporting effects that stock repurchases exert on stock price and finally reach reasonable conclusion, which can be served as crucial reference for financial practitioners.
XX Project
Apr 2019
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May 2019
- Cooperated with teammates to forecast stock price of Tencent by using ARMA Model; the error rate was 0.8%.
ADDITIONAL INFORMATION
- IT Skills: Microsoft Office, C++ Programming, R, SAS(Certified by Coursera ), Eviews
- Languages: Chinese (native) , English (fluent) , German(beginner) , Cantonese(fluent)
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