
Are you a quick-thinking self-starter with a passion for the financial markets and investing? Do you have a desire to be part of a team that focuses on quantitative equity portfolio management and portfolio construction? We are seeking an Analyst who has the ability to thrive in a fast-paced environment where attention to detail, strong communication skills, and client service are essential to maintaining and enhancing our business.
Goldman Sachs Asset Management (GSAM) is one of the worldâs leading investment managers. GSAM provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographies. We help our clients navigate todayâs dynamic markets, and identify the opportunities that shape their portfolios and long-term investment goals. We extend these global capabilities to the worldâs leading pension plans, sovereign wealth funds, central banks, insurance companies, financial institutions, endowments, foundations, individuals and family offices
Within GSAM, the Quantitative Investment Strategies (QIS) group is responsible for managing client assets, and is a market leader in quantitative portfolio management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including mutual funds, and separately managed account. QIS offers multi-asset strategies, as well as equity strategies, including both actively managed portfolios and portfolios that closely track an index. Clients include public, corporate and charitable institutions, high net-worth individuals, retail investors, and various portfolio management groups within the division.
HOW YOU WILL FULFILL YOUR POTENTIAL
The ideal candidate is passionate about investment and motivated to outperform the market. We welcome individuals who are excited by the prospect of combining creative insights with focus on details of equity portfolio construction to make good investment decisions. Strong programming skills, solid understanding of statistics, familiarity working with data, and some experience working with equities are required.