Chinese commercial banks constitute a vital component of China's banking system, primarily including 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 institutional system refinement. As a direct reflection of changes in human resource demand within the banking industry, recruitment data provides a robust empirical foundation for research on financial talent policies, employment structure evolution, and regional financial layouts.
Data Uniqueness
- Long-term, High-frequency Data Accumulation: Commencing in 2014, the dataset records recruitment information on a daily basis, covering multiple economic cycles and policy milestones. This enables observation of hiring pattern shifts in the banking sector against the backdrop of interest rate liberalization, fintech development, and pandemic impacts.
- Rich Fields with Standardized Structure: Fields encompass not only conventional information such as position titles, compensation, experience requirements, education level, and location, but also include "quantitative research-friendly" attributes like language proficiency requirements, posting dates, and hiring quotas. These support diverse research areas including behavioral economics, human capital analysis, and labor market matching.
- Practical Relevance with Authentic Hiring Signals: Sourced from actual job postings published by banks on mainstream recruitment platforms, the data reflects genuine job responsibilities, competency requirements, compensation levels, and work arrangements. It provides primary material for studying "real supply-demand dynamics in the financial talent market".
Data Application Value
- Analysis of Bank Human Resource Allocation: Facilitates analysis of recruitment strategies across different banks, time periods, regions, and position categories, revealing organizational expansion paths, structural adjustments, and talent transformation trajectories.
- Research on Employment Trends and Position Structures: Applicable for analyzing position popularity, evolution of educational thresholds, and the emergence of new roles (e.g., digital banking, risk control, compliance), thereby aiding education and employment policy formulation.
- Comparative Study of Regional Financial Layouts: Spatial distribution of recruitment volume and types unveils regional variations in banking business focus and development strategies, supporting the modeling and assessment of regional financial ecosystems.
The CnOpenData Online Recruitment Data of Chinese Commercial Banks is a comprehensive collection featuring extended temporal coverage, diverse sources, and complete field structures. It systematically documents the hiring dynamics of China's commercial banks across various developmental stages. This database provides a solid empirical foundation for researching changes in human resource demand and the evolution of position structures within the banking industry. It serves as a significant 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 - 2024
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 Disparities", Management World, Vol.7.
- Sun Kunpeng, Luo Ting & Xiao Xing, 2021, "Talent Policies, R&D Personnel Recruitment, and Enterprise Innovation", Economic Research Journal, Vol.8.
- Li Bin & Bai Yan, 2020, "The Signaling Mechanism of Educational Credentials: Evidence from a Resume Submission Experiment", Economic Research Journal, Vol.10.
- Liu Yuyun & Cheng Yuwei, 2020, "Key Industrial Policies and Talent Demand: Micro-evidence from Corporate Recruitment Interviews", Management World, Vol.6.
- Ge Yuhao, Deng Jiameng & Zhang Shuai, 2018, "Does Gender Discrimination Exist in College Graduate Employment?—Evidence from a Paired Correspondence Study", China Economic Quarterly, Vol.4.
Data Update Frequency
Annual Updates