Former Goldman analyst aims to blend GenAI and synthetic data with start-up is taking a novel approach to calculating risk. While promising, industry observers are skeptical.

Monte Carlo simulations were born from the same minds that brought the world the nuclear bomb. Mathematicians Stanislaw Ulam and John Von Neumann, partners on the Manhattan Project, worked together to develop and refine these probabilistic models, which are commonly used for back-testing and “what-if” scenarios in risk management.

In finance, these simulations often run through scenarios thousands or millions of times, using random inputs each time, and then present the outcomes to a portfolio

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The IMD Wrap: Will banks spend more on AI than on market data?

As spend on generative AI tools exceeds previous expectations, Max showcases one new tool harnessing AI to help risk and portfolio managers better understand data about their investments—while leaving them always in control of any resulting decisions.

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