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., 2021. All rights reserved.

　　Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Quantitative Research & Portfolio Management

　　Asset Management

　　Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm's primary investment area, we provide investment and advisory services for some of the world's leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are:

　　Investors, spanning traditional and alternative markets offering products and services

　　Advisors, understanding our clients' priorities and poised to help provide investment advice and strategies that make sense for their portfolios

　　Thought Leaders, providing timely insights across macro and secular themes to help inform our clients' investment decisions

　　Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals

　　Quantitative Investment Strategies

　　The Quantitative Investment Strategies (QIS) group in Goldman Sachs Asset Management (GSAM) is a market leader in quantitative portfolio management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including hedge funds, 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. Members of QIS work closely together in teams of junior and senior professionals, providing a unique environment for outstanding candidates to learn and apply advanced financial and econometric methods to all aspects of the investment process.

　　Job Responsibilities

　　Facilitate daily trade generation by being actively involved in the data handling and portfolio construction processes. Monitor performance and risk profiles of existing portfolio investments, liaising with managers as appropriate. Conduct quantitative research around global cross-asset strategies and search for new investment themes that add value to existing investment models. Present investment strategies to the research group and the Investment Committee, and conduct required follow-ups

　　Qualifications

　　The ideal candidate is a quick-thinking self-starter who is passionate about cross-asset research. We are seeking a solid understanding of statistics and financial markets, familiarity in working with datasets of various sizes and complexities, strong programming skills, and sharp attention to detail. Strong communication skills are a plus.