Job Description & Qualification

Post-Doc Position in Finance

The Division of Finance at NBS, NTU Singapore is inviting applications for a post-doc position in Finance.

ABOUT THE SCHOOL AND DIVISION:
NBS, based in Singapore, is a premier business school within NTU, a leading technological university. NBS is ranked No. 12 in the 2026 Financial Times Global MBA ranking. NTU is ranked first worldwide in the latest Times Higher Education Young University Rankings and 12th globally in the most recent QS World University Rankings.

The Division of Finance is committed to producing world-class research and further strengthening its position as a leading finance group, particularly in the area of AI and Finance. To this end, we are inviting applications for a Research Fellow (post-doc) position this year. For more information about our Division, please visit our website: https://www.ntu.edu.sg/business/academic-divisions/banking-finance.

Responsibilities

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. 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.

Application Process

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:

https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--AI-and-Finance-\_R00023515
Enquiries may be directed to Prof. Byoung-Hyoun Hwang (bh.hwang@ntu.edu.sg).
Only shortlisted candidates will be notified. The application deadline is March 31.

For Additional Questions
bh.hwang@ntu.edu.sg

Website
https://www.ntu.edu.sg/business/academic-divisions/banking-finance