School of Accounting and Finance
Research Assistant
(Ref. 260630013)
[Appointment period: twelve months]
Duties
The appointee will assist the project leader in the project – “Quant cloud centre for AI in accounting and finance”. He/She will also be required to:
(a) assist in conducting research related to artificial intelligence, quantitative finance, financial technology, and market data analysis, including literature review, data collection, data cleaning, and preliminary analysis;
(b) support the research team in developing and testing AI models, quantitative strategies, and agent-based research frameworks under the guidance of senior researchers and project leads;
(c) assist in preparing research materials, technical documentation, progress reports, presentation slides, and other academic or project-related documents;
(d) coordinate with AI algorithm engineers, quantitative researchers, development engineers, and academic collaborators to support the smooth implementation of research tasks; and
(e) assist in organising research data, experiment results, model outputs, and project records to ensure proper documentation and traceability.
Qualifications
Applicants should have:
(a) an honours degree or above in Computer Science, Artificial Intelligence, Statistics, Financial Engineering, Data Science, Finance, or related fields;
(b) basic understanding of AI models, machine learning, quantitative research, financial markets, or programming concepts;
(c) strong analytical skills, attention to detail, and the ability to assist in both independent research tasks and team-based project work; and
(d) good written and verbal communication skills in both Chinese and English, with the ability to prepare clear research summaries and documentation.
Preference will be given to those with:
(a) prior research experience in artificial intelligence, quantitative finance, financial technology, machine learning, or data analysis; and
(b) experience with Python, data analysis tools, or academic research methods.
Applicants are invited to contact Miss Angel Chen via email at angel.chan@polyu.edu.hk for further information.
Conditions of Service
A highly competitive remuneration package will be offered.
Consideration of applications will commence on 7 July 2026 until the position is filled.
Posting date: 30 June 2026