Part-time Research Associate/ Assitant I/ II/ Technical Assistant

1 week ago

Kwai Chung, Hong Kong SAR China Hong Kong Metropolitan University Li Ka Shing School of Professional and Continuing Education Full time

Overview Part-time Research Associate/ Assistant I/ II/ Technical Assistant (Project no: R2088) at the Lee Shau Kee School of Business and Administration, HKMU. Project: Navigating Regulatory Landscapes: The Impact of Macroprudential Policies on Financial Development and Economic Growth in Hong Kong. The project examines how macroprudential tools shape financial development and real-economy outcomes; the team will build a structured policy database, merge it with market- and macro-level datasets, and estimate causal effects using modern econometric techniques. Responsibilities Conduct systematic literature reviews on macroprudential policy, financial development, and growth (academic and policy sources). Collect, clean, and merge time-series/panel data (bank-level, credit, housing, firm outcomes, and macro indicators). Implement empirical analyses (e.g., event studies, DiD, panel regressions, SVAR/time-series models). Build reproducible code and documentation (version control, data dictionaries, replication files). Draft concise memos, figures, and tables for working papers and presentations. Qualifications A current Master’s/PhD student (or strong final-year undergraduate) in economics, finance, public policy, data science, or related field. Solid econometrics skills and experience with Stata, R, or Python (pandas/statsmodels). Proven data cleaning/merging skills and attention to detail. Strong research writing ability in English. Coursework or prior work on macroprudential policy, banking, or housing markets. Familiarity with Hong Kong’s financial system and HKMA publications. Experience with time-series econometrics (VAR/SVAR, ARDL, unit root/cointegration tests). Ability to read Chinese-language policy documents. Terms and Conditions Successful candidate will be appointed on a temporary part-time contract. Benefits will be provided in accordance with statutory provisions. To Apply Candidates who are interested may submit their applications via the University’s eRecruitment System. The personal data collected will be used for considering your application for employment. For details, please refer to the University’s Privacy Notice. If you are not contacted within eight weeks from the closing date, you may assume your application was unsuccessful. #J-18808-Ljbffr

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