Financial AI Research: New Solutions and New Risks
Machine learning is changing how financial institutions trade, build portfolios, manage risk and use alternative data. But as AI becomes embedded in financial decisions, model opacity and shared infrastructure can create new vulnerabilities.
Join Professor Charles-Albert Lehalle at Nebius Science webinar for a research-grounded look at where AI can improve financial decisions and where generative models, opaque algorithms and common technology dependencies may introduce new risks.
What you’ll learn
- Where machine learning is already reshaping trading, portfolio construction and risk management
- How market microstructure, optimal control and alternative data inform financial AI
- Why interpretability and robustness matter for high-stakes financial decisions
- How shared data, software and AI infrastructure can amplify systemic risk
Who should attend
Designed for ML researchers, quantitative researchers, AI engineers and technology leaders working on AI systems for financial institutions.
Register to get the link and the recording
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