Quantitative Investment Strategies
Quantitative Investment Strategies
Quantitative Investment Strategies
- 35-year veteran in systematic, data-driven investing and 10+ years leveraging AI
- 80+ experienced market practitioners and data scientists, backed by 90+ engineers
- Culture of continuous investment research and innovation, incrementally adding new information each year
- Investment Ideas backed by economic rationale with >100 high quality datasets, AI, and human oversight to seek to balance the trade-off between the portfolio’s overall expected return, active risk budget, transaction costs and sustainability
- Backed by the breadth, depth, and economies of scale of Goldman Sachs, and enabled by the organization’s investments in data and technology
- Edge in harnessing the power of diversified data sources through advanced statistical analysis
- Demonstrating proven long-term track record of robust performance
- Achieving strong risk-adjusted performance rankings relative to peers
- Seeking differentiated implementation
Source: Goldman Sachs Asset Management as of December 31, 2025.
Since its founding in 1989, QIS has been at the forefront of researching and deploying the latest quantitative techniques to extract a wide variety of investment insights from the ever-proliferating quantity of data that is produced daily.

We believe that a key advantage of being part of Goldman Sachs is the ability to leverage the vast amounts of data that exist across the firm as well as the expansive technological infrastructure at a scale that otherwise would not be feasible on a standalone basis. The QIS Equity Alpha team leverages machine learning, natural language processing (NLP), and advanced transformer technology within deep learning models for analysis.

Generating an informational edge through accessing unique data sources and interpreting data in a way that others cannot.

