The appointees will work closely with a research team with both academic and wall-street experience on the role of AI/ML in equity markets and quantitative investing. They will be required to perform specific research tasks including but not limited to applying AI/ML technology in stock return, risk, transaction cost modelling and portfolio optimization etc., and any other duties as assigned.

Applicants should have a PhD degree (for Research Associate/Post-doctoral Fellow positions) or a master’s degree (for Research Assistant positions) in computer science, data analytics, statistics, mathematics, finance or a related discipline; have strong quantitative skills and experience in data cleansing, data manipulation, and analysis; be familiar with machine learning algorithms and capable of modifying standard algorithms for specific tasks; have good understanding or experience in cloud platform (Google cloud); be proficient in Python programming; have a proactive and research mindset; and be able to work independently and team-oriented with good interpersonal skills. Knowledge about the financial market is a plus. (Duration: 1 year, renewable)

Salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided.

Review of applications will continue until the positions are filled.

HKUST is an equal opportunities employer and is committed to our core values of inclusiveness, diversity, and respect.

(Information provided by applicants will be used for recruitment and other employment-related purposes only.)