Asset & Wealth Management, QIS, Core Research, Associate- New York

OUR IMPACT

Goldman Sachs Asset Management (GSAM) is one of the world’s 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 today’s dynamic markets, and identify the opportunities that shape their portfolios and long-term investment goals. We 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 management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including mutual funds, and separately managed accounts. 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.

RESPONSIBILITIES AND QUALIFICATIONS

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 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 models. Research in model and optimization related techniques, especially in machine learning and artificial intelligence.

· Portfolio management: Assume full responsibility for alpha model, portfolio construction, and performance. Oversee 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 discipline. Advanced degree preferred.

· Strong understanding of machine learning, artificial intelligence, and/or optimization techniques.

· Strong programming skills (i.e. Python, 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

Salary Range 
The expected base salary for this New York, New York, United States-based position is $100000-$170000. 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.