<p style="text-align: justify;"><span class="p">我們的許多學(xué)員在準(zhǔn)備不同方向申請項目的個人陳述時，基于同一段經(jīng)歷準(zhǔn)備的寫作素材大都是一樣的，往往是對于科研或者實習(xí)內(nèi)容的羅列，而忽略了不同項目的側(cè)重點。為此，<strong>我認(rèn)為針對同一經(jīng)歷在不同申請方向的PS中，應(yīng)當(dāng)基于申請項目內(nèi)容來深入挖掘其經(jīng)歷，從而呈現(xiàn)出與申請項目相契合的內(nèi)容。</strong></span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p">今天#心動的文書#欄目，老師就跟大家分享一下如何通過描寫自己的經(jīng)歷來突出自己的優(yōu)勢，表達(dá)自己對該專業(yè)和未來的熱情和追求，從而吸引招生官。（<strong>下劃線加粗為好詞好句，大家可以收藏積累哦~</strong>）</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: center;"><span class="h1" style="color: #1dadff;">01 PS Sample</span></p> <p style="text-align: center;">&nbsp;</p> <p style="text-align: justify;"><span class="p">Quantitative finance, an innovative technique integrating financial tools and financial systems, balances profits and risks and <span style="text-decoration: underline;"><strong>settles financial difficulties</strong></span> with quantitative feelers. As an interdisciplinary subject, it allows free cooperation and independent functions among computer science, finance, and mathematics.<strong><span style="color: #1dadff;">【初印象：QF是數(shù)學(xué)、計算機(jī)和金融三者的合體產(chǎn)物】</span></strong>Therefore, the first time I got acquainted with quantitative investment and product pricing, I <span style="text-decoration: underline;"><strong>was fascinated with</strong></span> Brownian Motion and Itō's lemma. The two terms, though abstruse, <span style="text-decoration: underline;"><strong>demystify</strong></span> quantitative finance and opens its door for me. Combined with my extracurricular accumulations in quantitative finance and investment, I mastered the ins and outs of Quantamental and the information underpinnings behind from Alphanomics.<strong><span style="color: #1dadff;">【次印象：金融數(shù)學(xué)的課堂上首次嘗試運(yùn)用布朗運(yùn)動和伊藤引理對衍生品價格進(jìn)行建模分析】</span></strong>Through my consistent knowledge input, I become more and more clear that quantitative finance is challenging but interesting, motivating me to transfer my postgraduate direction.</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">「我」對QF的興趣是來源于金數(shù)課堂作業(yè)，因為發(fā)現(xiàn)該領(lǐng)域的趣味性和挑戰(zhàn)性所以決定迎難而上</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">Tip: 常規(guī)的興趣起源可能都是因為這個項目很匹配申請人的興趣或者已經(jīng)有很深的聯(lián)系，但是也可以從申請人無畏挑戰(zhàn)的角度，既點出申請人的申請動機(jī)也體現(xiàn)了申請人的探索精神。</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p">Fairly speaking, my major in Actuarial Science has a subtle link with quantitative finance. For instance, both fields share common mathematical foundations in linear algebra, probability, and statistics; in Risk Management, Econometrics, and allied financial courses, I gave full play to financial principles and quantitative models, alongside programming languages like Stata, and R.<strong><span style="color: #1dadff;">【跨專業(yè)聯(lián)系：數(shù)理基礎(chǔ)，金融原理和定量模型，編程】</span></strong>Far from being sufficient, my undergraduate qualifications could not bolster my postgraduate pursuit of quantitative finance. Hence, I need to pay more effort to at least make up for one aspect of my expertise, say, technology-based quantitative analysis.</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">從跨專業(yè)的角度反思自己已經(jīng)掌握的能力和還未培養(yǎng)或成熟的定量分析能力</span></p> <p style="text-align: justify;"><br /><span class="p">The Internet gives birth to We Media, which materializes multi-faceted, dynamic, and full-contact information coverage and permits individuals to be information makers. How to make media content prevailing and widely accepted deserves in-depth analyses. Positioning news articles, I decided to design a prediction system based on machine learning and Python for the targeted promotion of new media.<strong><span style="color: #1dadff;">【基于媒體行業(yè)的趨勢設(shè)計一個營銷預(yù)測系統(tǒng)】</span></strong>Lacking relevant operational experience, I learned from online courses about data cleaning (missing values, abnormal values, character strings), pre-processing (normalization, one-hot code, mapping), and code compiling, which facilitated my first step to collect data of &ldquo;shares&rdquo; label. After clarifying its distribution, I drew the histogram and got a general view of the data tendency. Under descriptive statistics, data features were explicit; so I went on to quantify the label and performed logarithmic transformations among data with maximal values over 5000. PCA for feature generation and random forest for selection, I combined cross-check and grid search with stacking to assess the prediction accuracy.<strong><span style="color: #1dadff;">【數(shù)據(jù)處理和解決問題的能力：通過標(biāo)簽分類、描述性統(tǒng)計，機(jī)器學(xué)習(xí)方法等操作，實現(xiàn)了精準(zhǔn)的集成模型預(yù)測系統(tǒng)】</span></strong>Regardless of the result, I am happy to engage myself in a practical project to exercise quantitative analysis. It not only demonstrates the significance of quantifying data in business decisions, but expands my sight of up-to-date quantification methods.</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">科研經(jīng)歷重點突出行業(yè)現(xiàn)象分析和運(yùn)用機(jī)器學(xué)習(xí)進(jìn)行量化研究的能力，同時對QF與行業(yè)的關(guān)系的反思也是很重要的（可以通過解決問題的過程來展開）。</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p">Stepping out of the ivory tower, I directly secured an intern at China Life Reinsurance Company. Every day as an assistant data analyst, I was busy with obtaining data from the Alipay application, data screening &amp; analysis with R, and descriptive statistics about the settlement of claims and causes of diseases. In addition, I also observed how expert data analysts capitalize on machine learning for data prediction, which once again proved the potential of modern technologies in data quantification.<strong><span style="color: #1dadff;">【使用R語言和描述性統(tǒng)計對支付寶相互寶的理賠數(shù)據(jù)分析并分類標(biāo)記】</span></strong> In my opinion, digging out valuable information from complicated data is worthwhile, which clears my vocational objectives</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">這段同樣也在最后加上個人的思考，為「我」制定的職業(yè)規(guī)劃鋪墊</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p">Doubtlessly, should I graduate from a postgraduate program, I will plunge into the domain of business analysis or investment decisions without hesitation. As is known to all, these undertakings place high requirements for <span style="text-decoration: underline;"><strong>sizing up</strong></span> the situations insightfully and making judgments decisively in the choppy economic ocean. Grasping the code of data equals commanding a sea of commercial information. Preferring the securities and Internet companies, I hope to bathe myself in their creative and vigorous atmosphere, intensifying my comprehensive skills and setting myself apart in the competing job market. My long-term goal is to climb the position ladder to be a manager in quantitative investment; before that, I shall prepare for the CFA and CVA (Charted Valuation Analyst) examinations to professionalize myself.</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">具體闡述「我」打算在未來崗位上如何提升自己的量化能力和對金融業(yè)務(wù)的洞察能力，做出更大的成績。</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p">Needless to say, the MSc in Quantitative Finance program that the National University of Singapore offers has long been my ideal choice. Perfectly catering to my academic and occupational needs, it <span style="text-decoration: underline;"><strong>summons up</strong></span> my confidence in making strides due to its curriculum close to what I have learned, e.g., Interest Rate Theory, Corporate Finance, Macroeconomic Theory, etc.<strong><span style="color: #1dadff;">【課程設(shè)置與本科和職業(yè)目標(biāo)的契合度】</span></strong>Additional unfamiliar courses such as Financial Modelling, Structured Products, and Financial Time Series: Theory and Computation will broaden my vision and shape me into a competitive job seeker.<strong><span style="color: #1dadff;">【聯(lián)系職業(yè)領(lǐng)域，彌補(bǔ)自己對不熟悉領(lǐng)域的缺陷】</span></strong>What&rsquo;s more, many seniors speak highly of your well-structured programs and placement opportunities, so I am extremely dying for a full-time internship in Singapore. For a private reason, Singapore, reputed as the garden city, magnetizes me with its diverse natural landscapes and humane characteristics.<strong><span style="color: #1dadff;">【新加坡的地理優(yōu)勢和多樣的實踐機(jī)遇】</span></strong> I believe I will spend my postgraduate life pleasantly.</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">擇校從課程對「我」的學(xué)術(shù)方面的幫助和學(xué)校所在的地理位置角度給「我」的職業(yè)層面的便利來寫。</span></p> <p style="text-align: justify;">&nbsp;</p> <p style="text-align: justify;"><span class="p" style="background-color: #d6d6d6;">Tip：當(dāng)然，擇?？梢砸罁?jù)個人的研究興趣和相關(guān)經(jīng)歷特點寫得更personalized。</span></p>