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金融工程，大数据，商业分析，这些专业毫无疑问是近年申请的热门方向。在这些专业的申请审理中，指南者教育清晰地看到学校的偏好，原本商学院申请中常见的leadership、ethical dilemma之类题目现今越来越少见，各专业录取纷纷更加侧重对数理背景和编程能力的考查。而我们国内大部分商科专业，课程设置都偏文科，数学方面的知识偏少，编程更是涉及不多，再加上本科期间地域、学校资源的限制，本科生很难找到高含金量的实践项目锻炼这方面的知识与技能。

但是，即使在这样激烈的竞争环境下，依然不乏转方向申请成功和逆袭名校的案例。

以上这几位学生成功录取的共同之处就是，在申请之前都有量化项目经历锻炼自己的数据分析、编程等技能，并在后期的文书材料中加以证明，从而完美契合了国外招生官对目标人才的需求。

而指南者教育一直以来都致力于在申请之前就真正帮助学生提高自身竞争力，与其在申请的时候“难为无米之炊”，不如先提升自身背景。在专业学习资料分享，雅思workshop、作文批改、一对一口语对练，暑研暑校资源的基础上，指南者教育现针对大二及以上的商科同学推出“量化技能训练营”项目，除了帮助大家增加一段对口的专业经历外，更加可以通过这个项目，弥补数理分析和编程能力的不足，更好地服务申请及之后的就读和职业发展。

1训练营适用人群

打算申请金融、金工、商业分析、经济、运筹、风险管理等商科专业研究生，且目前数理背景/项目经历薄弱的同学。

2指南者“技能训练营”有何特点？

比起市面上动辄上万结果只是水一水的实习，指南者教育商科“量化技能训练营“以提升学生竞争力拿到dream school为最终目的，培训内容紧紧围绕国外招生院校要求展开，真正培养学生申请专业所需的知识与技能，同时收获高含金量项目经历与推荐信。

1、专业核心竞争力

量化技能训练营培训内容是基于国外院校招生、企业招聘人才的标准精心设计的，商科人才所需的理论基础、数据处理、模型构建、软件应用、研报撰写等专业知识与技能都可以通过本次培训获得，对学生后期的申请和就业有很大的帮助。

2、名企推荐信

量化技能训练营的每个项目均是来自券商/基金公司的实战项目，每个项目结束后，我们都将在学校申请阶段提供该项目对应公司的推荐信。可获得的推荐信公司包括：华泰证券、中信证券、兴业证券、招商基金、华夏基金。

3“技能训练营”培训安排细则

第一阶段：补充金融计量基础知识及软件工具

第二阶段：量化项目逐步精讲指导（以风格中性多因子选股策略项目为例）

第三阶段：分配并指导学员完成项目及项目报告，查验培训成果

成果展示：

4顶级商科导师指导文书写作

针对购买留学申请服务的学员，指南者的海外顶级商科导师还会具体指导如何在文书中展示这段经历。

（部分导师展示）

量化经历节选1（个人陈述）：

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A notable experience happened in my junior year when I decided to research on the effect of investors’ heterogeneous beliefs on stock prices. With only a smattering of professional knowledge, I conducted literature review at first. As studies on stock price from the point of heterogeneous beliefs had a short history of only two or three decades, there was few literature available. In spite of this, I summarized the general structure of previous research projects, then collected data of Chinese stock market and attempted to find out suitable proxy variables that were not mentioned yet. To produce the better imitative effect of the regression equation, I selected average daily turnover and excess return as explanatory variables and their joint effect as a new variable. Things didn’t always go smoothly in reality. Problems were encountered in data processing. Heteroscedasticity was unexpectedly detected after F test. Instead of being anxious, I calmed down, consulted materials, and figured out problems in the number of variables for asset pricing due to my lack of mastery of explanatory variables. To settle this problem, I added more variables such as closing price and trading days in a year into a regression analysis, checked through the residual plot, Lagrange multiplier test, and White test, and eventually eliminated heteroscedasticity. The final results indicated that heterogeneous belief and stock price are correlated in a positive fashion, meaning that the more serious the heterogeneous belief is in the market, the more likely the stock price is to be overvalued, and then the crash phenomenon is more likely to occur. Thanks to my novel topic, rigorous data processing, and standard paper writing, my research earned the highest score in the class. In this research, my skills in data handling with Stata and my understanding of econometrics and statistical analysis were greatly developed. I treasure such an experience that inspired me to pay a close eye to financial markets, to incorporate theories into realities, and to apply thoughtful mind in problem-solving.

量化经历节选2（个人陈述）：

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Curiosity is my nature. It guided me in every adventure to the unknown world. As the bank loan is still the main channel for the enterprise to get financial support, most studies preoccupied mainly with the problem of asymmetrical information in small-medium enterprises' financing, while overlooking the investigation of individuality of enterprise management stratum. But in my opinion, CFO gender plays an important role in ensuring the quality of the financial report and choosing an investment item which impacts the success of enterprises’ lending from the bank. The idea aroused my curiosity to do the related research. Indeed, as a new research field, few studies have been done, and the results are inconclusive. I had to seek out information and gather the necessary data all on my own. During that time, I stayed in the library all day long, buried myself in the vast amount of documents, and exercised my collect and handle information ability to the fullest extent to look for research materials from the internet, the library and other sources. After my unremitting efforts, I found twenty thousand CFO gender statistics of Shenzhen Stock Exchange listed the company in Wind Information as well as corresponding bank-lending numbers. Given enough data, I had thought the research would go well, but until then I learned the data processing and analysis is the most crucial part. Facing the large numbers of multifarious data, I didn’t know that from where to start. I encountered the most severe test. But I didn’t give up, I ordered data into groups and processed into easy-to-read excel form. However, the use of EXCEL data-processing functions is not enough to fulfill the data analysis needs. So I taught myself SPSS software through professional books and many exercises and within the shortest possible time I mastered all the necessary knowledge regarding the correlation analysis. Then I carried on multivariate correlation analysis between CFO gender and the factors that determine the bank loan. Although I haven’t considered all control variables thus my study is ongoing now, yet it was the first time I really conduct a practical research. I have experienced the joys of research from the data collection and correlational analyses. I not only improved my self-learning ability but also cultivated the capacities to analyze and solve problems using quantitative analysis.

本期训练营主讲人