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The handout explains its purpose for LSU students and provides guidance on baseline preparation across statistics, data structures, mathematical statistics, and stochastics. It includes a curated set of interview questions covering topics such as matrix multiplication algorithms, risk and asset pricing model design, OLS/MLE/MAP estimation, and probability problems, along with references to external resources and solution support.",{"@graph":69,"@context":115},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/quant-fm-and-data-science-interview-compilation/391615/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/quant-fm-and-data-science-interview-compilation/391615.png","ImageObject",300,407,{"name":92,"@type":93},"dhado","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-07","2026-09-25",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109],{"name":110,"@type":111,"acceptedAnswer":112},"What kinds of technical topics are included in the interview problems?","Question",{"text":113,"@type":114},"The document includes a mix of algorithms and modeling questions, such as parallel matrix multiplication, risk and asset pricing model design, estimation methods (OLS, MLE, MAP), and probability problems involving interacting agents.","Answer","https://schema.org",{"og:url":83,"og:type":117,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":119,"canonical":83},"index,follow",{"doc_id":121,"site_id":62},391615,1790454570,{"code":4,"msg":5,"data":124},{"doc_id":121,"user_id":125,"nickname":92,"user_avatar":126,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":127,"file_id":128,"file_url":129,"file_type":130,"file_size":131,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":132,"language":133,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":134,"faqs":135,"seo_title":136,"seo_description":67,"update_tm":137,"read_time":138,"preview_page_count":4},5909893218464,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Quant, FM, and Data Science Interview Compilation  \nAaron Cao  \nContents  \nIntroduction for LSU Students 1  \nGood Resources ......................................... 2  \nInterview Problems 3  \nMiscellaneous Statistics Problems ............................... 12  \nAdditional Problems on Glassdoor 14  \nIntroduction for LSU Students  \nThere is a growing popularity of 􀀌nancial mathematics among the LSU undergraduate population. Many of these students are Mathematics majors concentrating in Actuarial Sciences or Statistics, but there are also quite a number in the Finance and Computer Science departments. The topics and problems compiled in this handout will invariably be encountered by students in all of these 􀀌elds, and it is important that enthusiasts of the quant/FM/data science career path have a 􀀌rm grasp of the technical interview  \nThroughout my undergraduate years, I was able to compile a good number of popular and frequently-asked interview problems from both my own interview experiences and from friends in the 􀀌eld. The problems listed here primarily come from top-tier hedge funds, trading 􀀌rms, software companies, and even graduate schools. These are attractive career choices for many of the aforementioned students, and along all of these career paths one will inevitably face a technical interview. I hope that the content provided in this handout will help many generations of LSU students to prepare for such a task.  \nThough the problems in this handout are by no means exhaustive, they do provide a good road map for the general knowledge that is expected from professionals in the industry. I provide link solutions and occasionally written solutions to every problem, so some research on the readers' part to 􀀌ll in knowledge gaps will be necessary. For baseline pro􀀌ciency I would recommend knowing the undergraduate curriculum from at least the 􀀌rst two introductory statistics courses, the data structures course, the mathematical statistics course, and the stochastics course.  \nOn a closing note, I encourage any LSU reader to participate in the Problem Solving Seminar and Putnam Competition during their undergraduate years. Beyond the specialized mathematics and coding skills, the most important ability any person in this industry should have is the ability to solve problems, and honing one's problem-solving ability pays large dividends throughout life.  \nGood Resources  \n􀀏 Art of Problem Solving ([https://artofproblemsolving. com/](https://artofproblemsolving. com/) )  \n􀀏 Brilliant ([https://brilliant. org/](https://brilliant. org/) )  \n􀀏 3Blue1Brown ([http://www.3blue1brown. com/](http://www.3blue1brown. com/) )  \n􀀏 Mark S. Joshi ([https://en. wikipedia. org/wiki/Mark_S._Joshi](https://en. wikipedia. org/wiki/Mark_S._Joshi) )  \n􀀏 Xinfeng Zhou ([https://www. biblio. com/xinfeng-zhou/author/1230731](https://www. biblio. com/xinfeng-zhou/author/1230731) )  \n􀀏 Competitive Programming ([https://cpbook. net/](https://cpbook. net/) )  \n􀀏 Cracking the Coding Interview ([http://www. crackingthecodinginterview. com/](http://www. crackingthecodinginterview. com/) )  \n􀀏 DarthPrince ([http://codeforces. com/blog/entry/15729](http://codeforces. com/blog/entry/15729) )  \n􀀏 Inishan ([https://codeforces. com/blog/entry/23054](https://codeforces. com/blog/entry/23054) )  \n􀀏 Matei Zaharia ([https://cs. stanford. edu/](https://cs. stanford. edu/) ~matei/programming_contests/)  \nFor questions and concerns feel free to contact me at [aarontcao@gmail. com](aarontcao@gmail. com).  \nInterview Problems  \n1. Discuss algorithms for parallel matrix multiplication.  \n􀀏 https://cse.bu􀀋alo.edu/faculty/miller/Courses/CSE633/Ortega-Fall-2012-CSE633.pdf  \n􀀏 [https://www.tutorialspoint.com/parallel](https://www.tutorialspoint.com/parallel) algorithm/matrix multiplication.htm  \n􀀏 [https://www3.nd.edu/ zxu2/acms60212-40212/Lec-07-3.pdf](https://www3.nd.edu/ zxu2/acms60212-40212/Lec-07-3.pdf)  \n2. Design a risk and asset pricing model for tech startup equity.","cbCaiveytwQlmMlH","https://ap.wps.com/l/cbCaiveytwQlmMlH","pdf",266244,14,"English","# Introduction for LSU Students\n## Good Resources\n## Interview Problems\n## Miscellaneous Statistics Problems\n## Additional Problems on Glassdoor","[{\"question\":\"What kinds of technical topics are included in the interview problems?\",\"answer\":\"The document includes a mix of algorithms and modeling questions, such as parallel matrix multiplication, risk and asset pricing model design, estimation methods (OLS, MLE, MAP), and probability problems involving interacting agents.\"}]","Quant, FM, and Data Science Interview Compilation | PDF",1790355802,35]