ING Cooperation

UT – ING Cooperation on AI in Finance

Committed funding: EUR 0.8 Million

Research objectives

The Foundations - Data

• The use of "meta labeling" technique
• Federated Learning
• Privacy-enhancing techniques for storing and analysing confidential data
• Applications of synthetic data generation for Finance

The main application - Risk Management

• Early warning systems for credit risk
• Machine learning for credit scoring
• Research on risk management related topics

Advanced Tools - Artificial Intelligence

• Explainable Artificial Intelligence
• Applications of Reinforcement learning

Business Models

• The value of innovation projects in Finance
• Networks of the client base

The applicants and Outlook

• Statistics of applying models
• Large Language Models for information retrieval from documents
• The detection of payment patterns\

The acitivities

• MSc Thesis Supervision
• Invited Industry Guest Lectures
• Academia - Industry Workshops
• PhD Internship Opportunities
• Impact-driven industry research