HONGBIN ZHANG
汽车行业二级市场研究 at 兴业证券股份有限公司- Claim this Profile
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English Professional working proficiency
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Chinese Native or bilingual proficiency
Topline Score
Bio
Credentials
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Neural Networks and Deep Learning
CourseraAug, 2017- Nov, 2024 -
Machine Learning
CourseraDec, 2016- Nov, 2024 -
Project Management Professional (PMP)
Project Management Institute
Experience
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兴业证券股份有限公司
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China
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Capital Markets
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1 - 100 Employee
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汽车行业二级市场研究
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Dec 2021 - Present
汽车行业二级市场研究,覆盖整车,自动驾驶,激光雷达行业。 跟踪标的:吉利汽车、比亚迪、特斯拉、Mobileye、禾赛等 汽车行业二级市场研究,覆盖整车,自动驾驶,激光雷达行业。 跟踪标的:吉利汽车、比亚迪、特斯拉、Mobileye、禾赛等
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GEELY
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China
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Motor Vehicle Manufacturing
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700 & Above Employee
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互联网产品经理
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Sep 2018 - Nov 2021
极氪001 项目
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副总裁助理
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May 2018 - Oct 2018
项目管理: - 问题跟踪- 跨部门沟通
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Ricequant
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Shenzhen, Guangdong, China
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Quantitative Analyst Intern
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Jul 2016 - Sep 2016
I implemented Carhart-Four-Factor model using Python. Cathart-four-factor model is a linear regression model that is used to predict the price of a stock. It will be an trading opportunity if there is a difference between actual price and predicted price. I was inspired by an article talking about low volatility stock. Moreover, successfully implemented the idea used in that article to developed a low volatility alpha strategy. The strategy will give us annual return 60%, sharp rate 1.8. Designed and analysed eight stop-loss strategies which can improve the performance by 200%. Data cleaning include missing data imputation and normalisation using Python Designed a MATLAB toolbox which can be used to obtain financial information. The toolbox is now widely used by thousands of people in quantitative trading. Show less
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Education
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Imperial College London
Master of Engineering (MEng), Biomedical/Medical Engineering -
Rendcomb college
Alevel -
Fenghua high shcool
High School