Research Associate (AI, Finance and Social Sciences) - #1172126

Nanyang Business School (NBS) at Nanyang Technological University is a leading business school in Asia, with strong research strengths in finance, risk management, insurance, economics, and data-driven social science. NBS is committed to advancing rigorous, policy-relevant, and internationally visible research that addresses major economic and societal challenges.

The school fosters interdisciplinary research that integrates modern empirical methods, large-scale administrative and textual data, and advances in artificial intelligence and machine learning. Research conducted at NBS regularly informs public policy debates and industry practice, while contributing to leading international academic journals.

We are looking for a Research Associate to support research at the intersection of artificial intelligence, finance and the social sciences. The role will focus on developing AI research agents, building empirical research benchmarks such as InferenceNet, and conducting reproducible computational experiments. The position will contribute to NTU's interdisciplinary research through reliable research tools, datasets and empirical evidence.

Key Responsibilities:

• Develop and maintain AI research agents and workflows for data analysis, empirical research and automated experimentation.

• Collect, clean and document research datasets and benchmark tasks, with appropriate quality checks and data governance.

• Implement and evaluate machine learning and language models for research applications in finance and the social sciences.

• Reproduce empirical analyses and assess generated code, statistical outputs and research findings against defined evaluation criteria.

• Run computational experiments, troubleshoot research software, and maintain reproducible code, environments and experiment records.

• Analyse experimental results and prepare research reports, visualisations, documentation and materials for publications and presentations.

• Collaborate with faculty and research partners on benchmark development, research activities and dissemination of findings.

• Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Economics, Engineering or a related discipline.

• Proficiency in Python and experience with data processing and machine learning libraries.

• Knowledge of machine learning, statistical analysis and experimental evaluation.

• Hands-on research or software development experience, which may be gained through academic projects or internships.

• Good written and oral communication skills, with the ability to document methods and communicate research findings clearly.

• Ability to work independently and collaboratively, with attention to detail and good organisational and time management skills.

• Experience with large language models, AI agents, econometric software, or GPU computing is advantageous.

• Entry level candidates are welcome to apply.

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