Whether you’re an undergraduate prepping for your first internship, or seeking a new career in investment banking, knowing the ins and outs of the industry can help you make your big break. In this eBook, Donna Khalife shares an insider’s perspective to the investment banking industry and helps prepare readers for their chance at landing their dream job.
Arnold Ziegel formed Mountain Mentors Associates after his retirement from a corporate banking career of more than 30 years at Citibank. The lessons learned from his experience in dealing with entrepreneurs, multinational corporations, highly leveraged companies, financial institutions, and structured finance, led to the development and delivery of numerous senior level credit risk training programs for major global financial institutions from 2002 through the present. This book was conceived and written as a result of the development of these courses and his experience as a corporate banker. It illustrates the fundamental issues of credit and credit analysis in a manner that tries to take away its mystery. The overriding theme of this book is that when an investor extends credit of any type, the goal is "to get your money back", and with a return that is commensurate with the risk. The goal of credit analysis is not to make "yes or no" decisions about the extension of credit, but to identify the degree of risk associated with a particular obligor or a particular credit instrument. This is consistent with modern banking industry portfolio management and the rating systems of credit agencies. Once the "riskiness" of an obligor or credit instrument is established, it can be priced or structured to match the risk demands or investment criteria of the entity that is extending the credit. A simple quote from Mr. J. P. Morgan is used often in this text - "Lending is not based primarily on money or property. No sir, the first thing is character". This statement represents one of the conflicts in modern credit analysis - that of models for decision making versus traditional credit analysis. The 2008 financial crisis was rooted in the mortgage backed securities business. Sophisticated models were used by investors, banks, and rating agencies to judge the credit worthiness of billions (and maybe trillions) of dollars worth of residential mortgage loans that were packaged into securities and distributed to investors. The models indicated that these securities would have very low losses. Of course, huge losses were incurred. Mr. Morgan had a good point. In this case is was both property and character. The properties that were the collateral for many of the mortgages had much less value than was anticipated. The valuation of the collateral was na�ve and flawed. Many assumptions were made that the value of homes would rise without pause. Many mortgage loans were made that were at or even above the appraised value of a residence.But character was a huge, perhaps larger, factor behind these losses. Many of the residential mortgage loans were made to individuals who knew that they did not have the income to make the required payments on the mortgages. Many of the mortgage brokers and lenders who made these loans also knew that many of the borrowers were not properly qualified. And, many of the bankers who securitized these loans also may have doubted the credit quality of some of the underlying mortgages. If bankers and rating agencies understood the extent of the fraud and lax standards in the fundamental loans backing the mortgage securities, or were willing to acknowledge it, the fiasco would not have occurred.
The 2002 edition of The Harvard Business School Guide to Careers in Management Consulting provides invaluable job-search advice for the prospective management consultant. Harvard Business School graduates, students, and faculty reveal firsthand insights into the industry, describe what a consultant's work is really like, outline current industry trends, and offer guidelines for approaching the case-study interview. Also included are profiles of well-known consulting firms, a mailing list of recruiting contacts, and a selective bibliography of relevant books and directories compiled by the Harvard Business School Career Resources librarian.
A leading workplace expert provides an inspirational, practical, and forward-looking career playbook for recent grads, career changers, and transitioning professionals looking to thrive in today’s rapidly evolving workplace. Covid-19 has heightened career uncertainty in a work landscape dominated by turbulence and change, and it is directly impacting how people are entering—or re-entering—the workplace. But as Lindsey Pollak makes clear, the pandemic merely accelerated career and hiring trends that have been building. Changes that were once slowly spreading have been rapidly implemented across all industries. This means that the old job hunting and career success rules no longer apply. Job seekers of all generations and skill sets must learn how to thrive in this “new normal,” which will include a hybrid of remote and in-person experiences, increased reliance on virtual communication and automation, constant disruption, and renewed employer emphasis on workers’ health and well-being. While this new world is complicated and constantly evolving, you won’t have to navigate it alone. For twenty years, Pollak has been following the trends and successfully advising young professionals and organizations on workplace success. Now, she guides you through the changes currently happening—and those to come. Combining insights from both experts and professionals across generations, she provides encouraging, strategic, and actionable advice on making lifelong decisions about education; building a resilient personal brand; using virtual communication to remotely interview, network, and work; skilling and reskilling for the future; and maintaining self-care and mental health. Like your personal GPS, Pollak equips you to handle workplace obstacles, helping you see them as challenges to navigate rather than impossible roadblocks. There is no perfect path to a dream career, but with Recalculating you’ll be prepared with the necessary skills and tools to succeed.
Profiles current industry trends and salaries and career profiles include Insurance account executive, banking customer service representative, financial analyst, tax preparer and more.
A Wall Street Insider's Guide to getting ahead in any highly competitive industry "Dave learned how to win in investment banking the hard way. Now he is able to share tools that make it easier for budding bankers and other professionals to succeed." —Frank Baxter, Former CEO of Jefferies and U.S. Ambassador to Uruguay "A must-read for anyone starting their career in Corporate America. Dave's book shares witty and valuable insights that would take a lifetime to learn otherwise. I highly recommend that anyone interested in advancing their career read this book." —Harry Nelis, Partner of Accel and former Goldman Sachs banker In The Way of the Wall Street Warrior, 25-year veteran investment banker and finance professional, Dave Liu, delivers a humorous and irreverent insider’s guide to thriving on Wall Street or Main Street. Liu offers hilarious and insightful advice on everything from landing an interview to self-promotion to getting paid. In this book, you’ll discover: How to get that job you always wanted Why career longevity and “success” comes from doing the least amount of work for the most pay How mastering cognitive biases and understanding human nature can help you win the rat race How to make people think you’re the smartest person in the room without actually being the smartest person in the room How to make sure you do everything in your power to get paid well (or at least not get screwed too badly) How to turn any weakness or liability into an asset to further your career
Series 7 Study Guide: Test Prep Manual & Practice Exam Questions for the FINRA Series 7 Licence Exam Developed for test takers trying to achieve a passing score on the Series 7 exam, this comprehensive study guide includes: -Quick Overview -Test-Taking Strategies -Introduction to the Series 7 Exam -Regulatory Requirements -Knowledge of Investor Profile -Opening and Maintaining Customer Accounts -Business Conduct Knowledge & Suitable Recommendations -Orders and Transactions in Customer Accounts -Professional Conduct and Ethical Considerations -Primary Marketplace -Secondary Marketplace -Principal Factors Affecting Securities, Markets, and Prices -Analysis of Securities and Markets -Equity Securities -Debt Securities -Packaged Securities and Managed Investments -Options -Retirement Plans -Custodial, Edcation, and Health Savings -Practice Questions -Detailed Answer Explanations Each section of the test has a comprehensive review that goes into detail to cover all of the content likely to appear on the Series 7 exam. The practice test questions are each followed by detailed answer explanations. If you miss a question, it's important that you are able to understand the nature of your mistake and how to avoid making it again in the future. The answer explanations will help you to learn from your mistakes and overcome them. Understanding the latest test-taking strategies is essential to preparing you for what you will expect on the exam. A test taker has to not only understand the material that is being covered on the test, but also must be familiar with the strategies that are necessary to properly utilize the time provided and get through the test without making any avoidable errors. Anyone planning to take the Series 7 exam should take advantage of the review material, practice test questions, and test-taking strategies contained in this study guide.
This book provides unique information to prepare graduates and newly hired corporate and investment banking professionals for a career in the global markets environment of large universal and international investment banks. It shows the interrelationship between the three specific business functions of sales, trading, and research, as well as the interaction with corporate and institutional clients. The book fills a gap in the available literature by linking financial market theory to the practical aspects of day-to-day operations on a trading floor and offers a taxonomy of the current banking business, providing an in-depth analysis of the main market participants in the global markets ecosystem. Engaging the reader with case studies, anecdotes, and industry color, the book addresses the risks and opportunities of the global markets business in today’s global financial markets both from a theoretical and from a practitioner’s perspective and focuses on the most important fixed-income financial instruments from a pricing, risk-management, and client-marketing perspective.
The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.
"In this definitive guide to the ever-changing modern workplace, Kathryn Minshew and Alexandra Cavoulacos, the co-founders of popular career website TheMuse.com, show how to play the game by the New Rules. The Muse is known for sharp, relevant, and get-to-the-point advice on how to figure out exactly what your values and your skills are and how they best play out in the marketplace. Now Kathryn and Alex have gathered all of that advice and more in The New Rules of Work. Through quick exercises and structured tips, the authors will guide you as you sort through your countless options; communicate who you are and why you are valuable; and stand out from the crowd. The New Rules of Work shows how to choose a perfect career path, land the best job, and wake up feeling excited to go to work every day-- whether you are starting out in your career, looking to move ahead, navigating a mid-career shift, or anywhere in between"--
