Our Research Programme#
The Digital Finance Research Programme encompasses multiple funded projects and collaborative initiatives in AI and digital finance. Our research aims to bridge the gap between academic innovation and practical applications in the financial industry.
Active Research Projects#
AI in Finance (ING-UT Collaboration)#
A 5-year joint research program (2021-2026) between University of Twente and ING Bank focusing on practical AI applications in banking and finance.
Key Research Areas:
- Data & Artificial Intelligence: Meta labeling techniques, Federated Learning, Privacy-enhancing techniques for confidential data, Synthetic data generation
- Risk Management & AI: Early warning systems for credit risk, Machine learning for credit scoring, Explainable AI (XAI) for risk management
- Business Applications: Value of innovation projects in Finance, Network analysis of client base, Decision-making statistics and visualizations
Learn more about AI in Finance
MSCA Digital Finance#
The Marie Sklodowska-Curie Actions Industrial Doctoral Network on Digital Finance (2024-2027), funded by Horizon Europe, brings together top universities, research centers, and companies to train PhD students in new financial technologies.
5 Research Topics:
- Federated Learning for Financial Privacy
- Reinforcement Learning in Trading
- Network-Based Risk Modeling
- Explainable AI in Finance
- Synthetic Data Generation
17 doctoral candidates across multiple European institutions.
Learn more about MSCA Digital Finance
SNSF Projects#
Research funded by the Swiss National Science Foundation on narrative finance and credit risk modeling:
- Narrative Digital Finance: Exploring how narrative information from news, social media, and corporate communications impacts financial markets
- Network-based Credit Risk Modelling: Developing network analysis approaches for understanding and predicting credit risk in interconnected financial systems
Learn more about SNSF Projects
COST FinAI#
European Cooperation in Science and Technology Action CA19130 - Fintech and Artificial Intelligence in Finance. A pan-European network connecting 360 researchers from 51 countries working on the intersection of fintech and AI.
Working Groups:
- WG1: AI and Big Data
- WG2: Blockchain and DLT
- WG3: FinTech Regulation
- WG4: Emerging Technologies
Learn more about COST FinAI
Research Output#
Our research has resulted in:
- 50+ peer-reviewed publications
- Multiple successful PhD defenses
- Industry implementations at ING
- Open-source tools and datasets
- Training programs for practitioners
For Collaboration#
Interested in collaborating with us? Contact our research team or visit our project pages for specific contact information.
Research 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 Applications and Outlook
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COST CA19130 - FinAI
Start date: September 14, 2020
End date: September 13, 2024
Action Website: Home | Cost Finai
Research Research Output with an Impact (more than 6000 citations and over 100 publications anually) Dissemination across Europe (more than 15 research events and over 1000 participants per year) Interdisciplinary Cooperations with Diverse Stakeholders (40 European countries and more than 300 researchers from 51 countries globally) Fintech and AI in Finance (more than 40 research funding applications) Towards a Transparent Financial Industry Description The financial sector is the largest user of digital technologies and a major driver in the digital transformation of the economy. Financial technology (FinTech) aims to both compete with and support the established financial industry in the delivery of financial services. Globally, more than $100 billion of investments have been made into FinTech companies and Artificial Intelligence (AI) since 2010, and continue growing substantially. In early 2018, the European Commission unveiled (a) their action plan for a more competitive and innovative financial market, and (b) an initiative on AI with the aim to harness the opportunities presented by technology-enabled innovations. Europe should become a global hub for FinTech, with the economy being able to benefit from the European Single Market.
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Research Topics Towards a European Financial Data Space
Collaborative learning across data silos Detecting anomalies and dependence structures in high dimensional, high frequency financial data Predicting financial trends using text mining and NLP Deep Generation of Financial Time Series Artificial Intelligence for Financial Markets
Strengthening European financial service providers through applicable reinforcement learning Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms Challenges and opportunities for the uptaking of technological development by industry Investigating the utility of classical XAI methods in financial time series Towards Explainable and Fair AI-generated decisions
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SNSF Funded Research Research projects funded by the Swiss National Science Foundation (SNSF) in digital finance and AI.
Narrative Digital Finance Exploring how narrative information from news, social media, and corporate communications impacts financial markets and risk assessment.
Project details
Network-based Credit Risk Modelling Developing network analysis approaches for understanding and predicting credit risk in interconnected financial systems.
Project details
Principal Investigator Prof. Dr. Jörg Osterrieder - University of Twente
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