Laboratory for AI-Powered Financial Technologies

In the Vanguard of AI-Driven Technological Innovation in the Financial Sector

As a leading international financial centre, Hong Kong serves an ideal location for research teams to develop and test innovative financial technology (FinTech), especially when it combines with artificial intelligence, blockchain, cyber security and data analytics. This R&D centre is a result of the long-term partnership between City University of Hong Kong and Columbia University in the areas of data science, mathematics and statistics, computer science, operations research and social media analytics, supported by core research members with the background of US National Academy of Engineering, Academia Europaea and French Academy of Sciences, and fellows of IEEE, SIAM, INFORMS, ASA and International Communication Association.

Financial technology solution data and algorithms.

AIFT Program Leaders.

Model building team.

The Laboratory for AI-Powered Financial Technologies is committed to delivering breakthrough research outcomes through AI and data science, and developing them into innovative and marketable products for global financial services industry. By promoting the power of entrepreneurial spirit, it brings the public the best business solutions for future financial technologies and services.

To gather the brightest minds and discover the most innovative ideas, the Lab incorporates talent from diverse backgrounds and expertise globally, focusing on three programmes:

• An AI-driven Financial Service programme seeks to commercialize research results, which include extracting business value from data that are transferrable across behavioural scenarios and developing augmented intelligence to facilitate decision-making in credit and insurance applications.
• An AI-enhanced Financial Technology programme focuses on wealth management solutions, which utilise advanced ideas in data science, reinforcement learning, interpretable machine learning and deep neural networks, and their applications in asset pricing, investor behaviour, blockchain and token technologies, securitization and asset management, smart contracts and digital currencies.
• A Social Media Analytics programme aims to develop AI-enabled algorithms for understanding public opinion and collective behaviours from social media big data. Drawing on existing expertise, it detects and predicts social, economic, and international scenarios for trading and investment.