Quantitative Research Associate

7 days ago


Hong Kong, Central and Western District, Hong Kong SAR China The Hong Kong University of Science and Technology Full time
Position Overview

The selected candidates will collaborate with a team of researchers possessing both academic and industry expertise, focusing on the integration of AI and machine learning within equity markets and quantitative investment strategies.

Key responsibilities include executing targeted research assignments such as leveraging AI/ML technologies for stock return analysis, risk assessment, transaction cost modeling, and portfolio optimization, along with other related tasks as required.


Applicants should hold a PhD (for Research Associate/Post-doctoral Fellow roles) or a master's degree (for Research Assistant roles) in fields such as computer science, data analytics, statistics, mathematics, finance, or a closely related area. Candidates must demonstrate strong quantitative abilities and experience in data cleansing, manipulation, and analysis. Familiarity with machine learning algorithms and the capability to adapt standard algorithms for specific applications is essential. A solid understanding or experience with cloud platforms (e.g., Google Cloud) is also required. Proficiency in Python programming, a proactive research-oriented mindset, and the ability to work both independently and collaboratively with strong interpersonal skills are crucial.

Knowledge of financial markets will be considered an advantage.

Contract Details:

Duration: 1 year, with the possibility of renewal.

Compensation will be aligned with qualifications and experience, accompanied by fringe benefits including annual leave, medical, and dental coverage.

Applications will be reviewed continuously until the positions are filled.

The Hong Kong University of Science and Technology is an equal opportunity employer, dedicated to the principles of inclusiveness, diversity, and respect.

Note: Information provided by applicants will be utilized solely for recruitment and employment-related purposes.

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