About Financial Modeling at Goldman Sachs
Many careers at Goldman SachsGoldman Sachs GroupGoldman Sachs Group Inc. is a multinational investment bank that was established in 1869 by Marcus Goldman. It offers asset management, mergers & acquisitions, brokerage, & security underwriting through 4 segments: Investment Banking, Investment Management, Investing & Lending, & Institutional Clients, Learn about GS require financial modeling skills. The groups most commonly involved in financial modeling are the investment banking division (IBD)IBD - Investment Banking DivisionIBD is an acronym for the Investment Banking Division within the overall investment bank. IBD o carry out capital raising (underwriting in equity, debt, and hybrid markets) and the equity researchEquity Research OverviewEquity research professionals are responsible for producing analysis, recommendations, and reports on investment opportunities that investment banks, institutions, or their clients may be interested in. The Equity Research Division is a group of analysts and associates. This equity research overview guide department. The titles and positions that are required to build models are typically Analysts and Associates. More senior positions, such as Vice Presidents, Directors, and Managing Directors, are less involved with models and more focused on relationship managementInvestor Relations ManagerAn Investor Relations Manager has the responsibility of bridging the communication gap between a company’s corporate management and its investors. An Investor Relations Manager helps support releasing information, handling inquiries and meetings, providing feedback to management, crisis management, analyst meetings.
Goldman Sachs is a multinational investment bank and financial services company. It is considered one of the world’s largest investment banking enterprises in the world, with net revenues reaching more than $30 billion in 2017.
Solid financial knowledge is essential at Goldman Sachs. Individuals who are involved in financial modeling are expected to work on large datasets to establish predictive models for different business centers, build advanced qualitative and quantitative methods, and help clients come up with risk models that assess market and liquidity risks, as well as modeling vulnerabilities.
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