GLOBAL INVESTMENT RESEARCH From macroeconomic forecasts to individual stock analysis, our team develops tools and insights to help shape investment strategies for clients and the firm. Our analysts work on client-focused research in the equity, fixed-income, currency, and commodities markets, mining big data that enters markets around the world each day to identify game-changing insights. You'll be part of a team that is intellectually curious, creative, analytical, and passionate about performing market research. Global Investment Research (GIR) provides investment recommendations by generating fundamental research and analysis of companies, industries, markets and economies. GIR analysts, economists and strategists help our clients achieve superior returns through our creative, differentiated investment insights and ideas. Our clients include mutual funds, hedge funds and pension funds, among others. The Macro Research team focuses on the intersection between economics and financial markets across a wide class of assets including equities, fixed income/credit, currencies, and commodities. We are seeking an analyst to join the Structured Credit Research team in NY. Key responsibilities include: Analyzing and interpreting datasets related to the agency and non-agency RMSB markets. Presenting data and conclusions in a clear and efficient manner to a wide range of senior stakeholders. Staying on top of industry-related news and analyzing the implications of news/industry developments Supporting senior strategist in producing and publishing innovative research Collaborating with the broader Macro Research team Supporting internal stakeholders in institutional client services (sales and trading) and across the firm Preferred Qualifications & Skillset: A minimum of 1 year of experience in analyzing and interpreting data related to credit market or economics. Bachelor’s degree required, preferably in Finance, Economics, or STEM (Science, Technology, Engineering, and Math) Strong quantitative skills and fluency in applied statistics and econometrics. Experience using Python, SQL, R, SAS, etc. for statistical analysis and data manipulation. Familiarity with vendor data such as Intex, Bloomberg, Yield Book, Reuters and Haver is a plus Excellent verbal and written communication skills in English. Professional writing experience a plus e.g. crafting research notes. Ability to work in team-centric environment. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Salary Range The expected base salary for this New York, New York, United States-based position is $110000-$125000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end. Benefits Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
