The Division of Banking & Finance at Nanyang Business School seeks a Research Fellow  to support data-driven and AI-enabled research in investments and financial markets.

The Research Fellow will be responsible for:

• Supporting empirical research projects in investments and financial markets, with a strong emphasis on computational and AI-based methods.

• Designing, implementing, and maintaining research-grade codebases, including data pipelines and analysis workflows.

• Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction, classification, summarization, and belief or sentiment measurement.

• Collecting, cleaning, merging, and managing large-scale structured and unstructured datasets using Python, R, Stata, and related tools.

• Assisting in empirical analysis using econometric, machine-learning, and language-modeling techniques.

• Conducting literature reviews and synthesizing existing academic research to support ongoing projects.

The Research Fellow is expected to be physically present at NTU during working hours. Office space, computing resources, and access to NTU facilities and licensed software will be provided.

Requirements

• PhD in Computer Science, Statistics, Finance, Economics, or a related field.

• Very strong programming skills, especially in Python.

• Hands-on experience with large language models, AI agents, or machine-learning systems.

• Ability to work independently, manage deadlines, and write clean, reproducible code.

• Strong interest in finance research and excellent communication skills.

Interested applicants should submit a cover letter, full CV (including names and contact details of two referees), and any relevant supporting materials via the NTU career portal. Enquiries may be directed to Prof. Byoung-Hyoun Hwang ([email protected]).

We regret to inform that only shortlisted candidates will be notified.