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Research on FinTech Talent Evaluation Index System and Recruitment Strategy: Evidence From Shanghai in China

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  • Xue Ding
  • Mengling Qin
  • Linsen Yin
  • Dayong Lv
  • Yao Bai

Abstract

In recent years, the development and iteration of information technology have prompted the financial industry to transform and upgrade to financial technology (FinTech), which has received emerging attention from the global financial industry. While the FinTech industry is growing rapidly around the world, however, few studies have foucusd on the shortage of talent and difficulties in recruiting talent. First, this paper clarifies the shortage of FinTech talent through expert interviews and a questionnaire survey of 112 financial industry enterprises in Shanghai, China. Following, based on role theory, we construct a talent capability evaluation index system using 5 primary and 17 secondary indicators. Based on the exploration above, a gray optimization model is designed to support talent recruitment strategy for FinTech enterprises. The results indicate that Chinese FinTech talent should have composite abilities with outstanding professional technical skills and learning abilities, innovation and teamwork ability, project experience, and international vision. This study provides methodological guidelines for global FinTech talent evaluation and recruitment strategies and broadens the application of role theory and gray clustering theory.

Suggested Citation

  • Xue Ding & Mengling Qin & Linsen Yin & Dayong Lv & Yao Bai, 2023. "Research on FinTech Talent Evaluation Index System and Recruitment Strategy: Evidence From Shanghai in China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231212256
    DOI: 10.1177/21582440231212256
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