Research Fellow in Artificial Intelligence and Financial Technology

About the Institute

The Global Institute of Finance, Technology, and Society (GIFTS) at Nanyang Technological University is a multidisciplinary institute fostering research at the intersection of finance, technology, and society. It focuses on AI, digitization, fintech, digital assets, and governance of new economic systems. GIFTS supports collaboration across academic schools and emphasizes responsible innovation and Singapore’s goal as a global financial hub.

Role Overview

The Research Fellow will lead efforts to create economic world models that integrate artificial intelligence with quantitative finance theories. The primary focus is to develop advanced generative and theory-based neural network models to inform economic and financial understanding.

Key Responsibilities

• Perform theoretical and empirical research on economic world models centered on finance topics such as asset pricing, volatility modeling, and risk management.
• Design and develop frameworks for economic world models utilizing generative AI methods like diffusion models and physics-informed neural networks (PINN, SKINN).
• Construct agent-based economic models embedding domain theory and knowledge, linked with reinforcement learning and generative modeling techniques in finance.
• Implement agentic economic models with transformer architectures to address financial econometric tasks including covariance estimation and forecasting time-series data.
• Collaborate closely with experts in computer science and statistics to advance interdisciplinary research.
• Disseminate research results at top finance, economics, and AI conferences globally.

Required Qualifications and Skills

• PhD in Fintech, Finance, Economics, Statistics, or a related discipline.
• Strong quantitative foundation, typically supported by an undergraduate degree in mathematics, statistics, or similar fields.
• Proficiency in programming, particularly in Python or JAX.
• Sound understanding of financial theories including asset and derivative pricing, and risk management.
• Knowledge of machine learning and deep learning concepts relevant to finance or economics applications.
• Practical experience developing machine learning or deep learning models targeting financial/economic challenges.
• Excellent communication skills both written and verbal.
• Capacity to work autonomously, meet deadlines, and maintain high-quality reproducible code.
• Deep enthusiasm for research at the intersection of AI and finance.

Additional Information

Only candidates shortlisted for the position will be contacted.