Research Associate
1 month ago
Job Posting Details
The appointees will work closely with a faculty team on the role of traditional and alternative data in equity markets and investments. They will be required to perform specific research tasks including but not limited to identifying stock market anomalies and testing quantitative investment strategies, and performing 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 economics, finance or a related discipline. The ideal candidates should be familiar with security valuation/pricing and modern portfolio theories; be able to read/present academic literature on the capital markets; have strong quantitative skills and experience in data cleansing, data manipulation, and analysis; 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 of machine learning will be an added advantage.
The successful candidate will have the opportunity to work on a variety of research projects and contribute to the development of new research ideas. They will also have the chance to collaborate with a team of experienced researchers and academics, and to present their research findings at international conferences.
Fringe benefits such as medical benefits and paid leave will be provided where applicable.
Interested applicants are requested to send a curriculum vitae with a letter of intent describing their motivation, qualifications, skills and experience relevant to the position, as well as at least one academic paper/writing sample.
The Hong Kong University of Science and Technology is an equal opportunities employer and is committed to our core values of inclusiveness, diversity, and respect.
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