Professional Announcements and Job Openings

NTU Summer School & Conference 2025
AI for Finance

The NTU Summer School & Conference on AI for Finance will take place from 4 to 7 July 2025 at Nanyang Business School, Nanyang Technological University (Singapore). It will focus on the financial implications and applications of artificial intelligence, addressing the rapid adoption of AI technologies within the financial sector.

The Summer School (4 to 6 July 2025) will offer three days of intensive lectures and workshops, while a one-day Conference (7 July 2025) will bring together top researchers and leading practitioners to discuss recent advances in both theoretical and applied work in AI for finance. This is an excellent opportunity to enhance your research, build your network, and engage with the latest developments in AI and finance.

Summer School Lecturers

  • Bo An (Nanyang Technological University)
  • Hui Chen (Massachusetts Institute of Technology)
  • Semyon Malamud (École Polytechnique Fédérale de Lausanne)
  • Gordon Phillips (Dartmouth College)
  • Dacheng Xiu (The University of Chicago Booth School of Business)

Conference Chairs

  • Jun Yang (Nanyang Technological University)
  • Hui Chen (Massachusetts Institute of Technology)

Summer School Application

The NTU Summer School is open to tenure-track and tenured faculty members and mid- and advanced-stage PhD students from all around the world. This intensive three-day summer school provides a comprehensive curriculum with tools and practical computational skills in AI applications for finance. The curriculum will foster a close integration of economics, computing, and data sciences to advance research in asset pricing, corporate finance, and financial accounting.

Key Areas

  • Overview of how machine learning and AI are transforming finance and accounting research
  • Financial forecasting: from penalised regression techniques to deep neural networks and large language models (LLMs)
  • Advances in deep learning for asset pricing and incorporating machine learning (ML) and AI into asset pricing models (including factor pricing, estimating the stochastic discount factor, etc.)
  • Reinforcement learning for trading and portfolio management
  • ML tools for solving and estimating dynamic structural models
  • Use of computational linguistics and natural language processing (NLP) in finance, covering both traditional methods (e.g., topic models and latent Dirichlet allocation (LDA)) and state-of-the-art large language models

Key Dates

  • Application Deadline: 20 April 2025, 11:59PM (SGT)
  • Notification of Admission Results: 10 May 2025

Apply for Summer School Here

The Conference on AI for Finance invites faculty members, PhD students, industry practitioners, and thought leaders from all around the world to submit full papers that address the rising adoption of AI in finance. The conference organiser is open to papers within the broad area of cutting-edge AI research in asset pricing, portfolio management, corporate finance, and financial accounting.

Key Topics

  • Algorithmic and high-frequency trading strategies  
  • AI in risk management and credit scoring 
  • AI-based portfolio optimisation
  • Natural language processing in financial applications
  • Robo-advisory services and fraud detection
  • Financial forecasting and market sentiment analysis using AI and machine learning (ML)
  • Reinforcement learning for dynamic trading 
  • AI regulations and ethical decision-making in financial AI
  • Other AI-related research in finance 

Guidelines

  • Authors are invited to submit full papers in English.
  • Authors must submit one (1) blinded manuscript in PDF format, no more than 20MB (i.e., without author names or affiliations).
  • Each individual can only present one paper at the conference.

Key Dates

  • Submission Deadline: 20 April 2025, 11:59PM (SGT)
  • Notification of Paper Submission Outcome: 10 May 2025

Submit a Paper Here

 

For any enquiries, please contact the event organiser at nbsknowlab@ntu.edu.sg.