OUR IMPACT Goldman Sachs Asset Management (GSAM) is one of the world's leading investment managersGSAM provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographiesWe help our clients navigate today's dynamic markets, and identify the opportunities that shape their portfolios and long-term investment goalsWe extend these global capabilities to the world's 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 managementWe use advanced quantitative methods to structure, manage, and monitor investment portfolios including mutual funds, and separately managed accountsQIS offers multi-asset strategies, as well as equity strategies, including both actively managed portfolios and portfolios that closely track an indexClients include public, corporate and charitable institutions, high net-worth individuals, retail investors, and various portfolio management groups within the division RESPONSIBILITIES AND QUALIFICATIONS HOW YOU WILL FULFILL YOUR POTENTIAL The ideal candidate is passionate about investment and motivated to outperform the marketWe welcome individuals who are excited by the prospect of combining creative insights with extensive research to make good investment decisions Key responsibilities include:
- Alpha research: Generate creative research ideas, explore new datasets, conduct rigorous analysis, and implement quantitative trading modelsResearch in model and optimization related techniques
- Portfolio management: Assume full responsibility for alpha model, portfolio construction, and performanceOversee day to day systematic trade generation and execution
- Research Methodologies and Infrastructure: Help formulate and build next generation research and production infrastructure for systematic strategies that utilizes heavy computation and latest ML/AI techniques
SKILLS & EXPERIENCE WE'RE LOOKING FOR BASIC QUALIFICATIONS
- Degree (Undergraduate/Masters/PhD) in a highly computation and quantitative disciplineAdvanced degree preferred
- Strong understanding of machine learning, artificial intelligence, and/or optimization techniques
- Strong programming skills (i.ePython, Matlab, C++, Java, or other languages)
- Strong understanding of statistics and linear algebra
- Creativity and ability to think outside the box
- Ability to work well in a fast-paced 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 growFounded in 1869, we are a leading global investment banking, securities and investment management firmHeadquartered in New York, we maintain offices around the world We believe who you are makes you better at what you doWe'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 programsLearn 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 processLearn more: