Longevity and success in systematic investing are not simply a result of years in operation. They require accumulated intellectual property, research archives and lived experiences across market cycles. Even then, outperformance is not a given.
In practical terms, making insights count relies on being able to synthesise more data, quicker, and to extract economically intuitive signals before they ...
The QIS team at Goldman Sachs focuses on processing information better, faster, and more consistently than the rest of the market to uncover investment opportunities. They leverage AI to analyze large volumes of data, including earnings transcripts, regulatory filings, sell-side research, and news flows. This enables them to capture nuance and tone at scale, improving their sentiment framework. The team's approach is described as "fundamental thinking, done systematically." Europe presents an ap...