The appointee will work closely with faculty to conduct and support empirical research in fintech areas, especially in quantitative modeling and analysis.
Applicants should have a bachelor's or a master's degree in finance, economics, mathematics, or computer science with strong quantitative skills and experience in data cleansing, management, and analysis using packages such as R and SAS.
Programing Experience in Java / Python programming is preferred. The appointee should be independent and team-oriented with good technical background and interpersonal skills.
Duration : 2 years, renewable)
Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided.
A gratuity will be payable upon successful completion of contract.
Please apply on or before : 6 November 2020.
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