Natixis CIB — Data Challenge
Financial anomaly analysis, domain-specific data and a conversational assistant: integrating AI, interpretation and operational needs.
Connecting research, students and partners around challenging real-world, interdisciplinary problems.
Financial anomaly analysis, domain-specific data and a conversational assistant: integrating AI, interpretation and operational needs.
Develop a financial-health indicator to anticipate insurance-contract profitability despite imbalanced data, missing values and interpretability requirements.
Industry-facing data science challenge with Safran. The detailed task and deliverables will be added from cleared source materials.
Analyze central-bank speeches and their relationship with financial-market movements; build and assess out-of-sample trading strategies using textual signals.
Earlier Data Challenge collaboration involving economic speeches and market data.
Three-day hackathon, 18–20 November 2025: detect and characterize incidents using firewall data; distinguish faults from attacks, assess severity, propose countermeasures, and deliver a robust operator interface.
A separate hackathon on historical IT-system workload analysis and peak prediction to support resource planning for military networks. Three components: data, AI and visualization.
Co-organizer of New Trends in Statistical Learning since 2021, invited presentation at Porquerolles in 2025, a scientific presentation on CoHiRF at IHP, and organization of mathematical-statistics meetings. Outreach includes introductory AI presentations for CEREMADE researchers and doctoral students.
Former à l’IA en finance : l’Université ne peut pas faire seule ↗
An article about university–industry collaboration, data challenges and training future AI specialists.