Chinese commercial banks constitute a vital component of China's banking system, primarily encompassing state-owned large commercial banks, joint-stock banks, city commercial banks, and rural commercial banks. With the deepening of market-oriented reforms in China's banking sector, the number of banking institutions has continuously increased, demonstrating a development trend of enhanced supply capacity and a more robust institutional framework. As a direct reflection of human resource demand fluctuations in the banking industry, recruitment data provides a solid empirical foundation for research on financial talent policies, employment structure evolution, and regional financial distribution.
Data Uniqueness
- Long-term, High-frequency Data Accumulation: The dataset originates from 2014 and records recruitment information on a daily basis, covering multiple economic cycles and policy milestones. This enables the observation of employment dynamics in the banking industry against the backdrop of interest rate liberalization, fintech development, and pandemic impacts.
- Rich Fields, Standardized Structure: Fields encompass not only conventional information such as position titles, salary, experience, education level, and location but also include "quantitative-research-friendly" fields like language requirements, posting dates, and recruitment quotas. This supports diverse research areas including behavioral economics, human capital analysis, and labor market matching.
- Practice-Oriented, Authentic Recruitment Signals: Data is sourced from genuine job postings released by banks on mainstream recruitment platforms, reflecting actual job responsibilities, competency requirements, salary levels, and work arrangements. It provides first-hand materials for studying "real supply and demand in the financial talent market."
Data Application Value
- Analysis of Bank Human Resource Allocation: Supports analysis of recruitment strategies across different banks, time periods, regions, and position categories, revealing organizational expansion, structural adjustments, and talent transformation pathways.
- Research on Employment Trends and Position Structures: Facilitates analysis of position popularity, evolution of educational thresholds, and the emergence of new roles (e.g., digital banking, risk control, compliance), aiding education and employment policy formulation.
- Comparative Study of Regional Financial Distribution: Spatial distribution of recruitment volume and types unveils regional banking business priorities and development strategies, supporting modeling and evaluation of regional financial ecosystems.
The CnOpenData Online Recruitment Data of Chinese Commercial Banks is a comprehensive collection featuring extensive temporal coverage, diverse sources, and complete field structures, systematically documenting employment dynamics across different development stages of China's commercial banks. This database provides a robust empirical foundation for studying changes in human resource demand and the evolution of position structures in the banking sector. It serves as a crucial data resource for universities, research institutions, consulting firms, and financial enterprises to understand the financial talent market and discern industry trends.
Time Period
2014.05–2025
Data Scale
Field Display
Sample Data
Online Recruitment Data of Chinese Commercial Banks - Source B
Online Recruitment Data of Chinese Commercial Banks - Source C
Online Recruitment Data of Chinese Commercial Banks - Source E
Related Literature
- Cao Y, S. Cheng, J. W. Tucker and C. Wan, 2023, "Technological peer pressure and skillspecificity of job postings", Contemporary Accounting Research, forthcoming.
- Luo Chuliang & Liu Pan, 2022, "Matching Efficiency of Public Employment Service Agencies and Regional Differences," Management World, No. 7.
- Sun Kunpeng, Luo Ting & Xiao Xing, 2021, "Talent Policies, R&D Personnel Recruitment, and Enterprise Innovation," Economic Research Journal, No. 8.
- Li Bin & Bai Yan, 2020, "The Signaling Mechanism of Educational Credentials: Evidence from a Resume Submission Experiment," Economic Research Journal, No. 10.
- Liu Yuyun & Cheng Yuwei, 2020, "Key Industrial Policies and Talent Demand: Micro-evidence from Corporate Recruitment Interviews," Management World, No. 6.
- Ge Yuhao, Deng Jiameng & Zhang Shuai, 2018, "Does Gender Discrimination Exist in College Graduate Employment? Evidence from a Fictitious Paired Resume Experiment," China Economic Quarterly, No. 4.
Data Update Frequency
Annual Updates