银行招聘青睐“金融+科技”复合型人才
Zheng Quan Ri Bao·2025-11-25 16:43

Core Insights - The recent recruitment initiatives by several Chinese banks, including Bank of China, China Construction Bank, Nanjing Bank, and GF Securities, emphasize the urgent need for "financial + technology" interdisciplinary talents, indicating a strategic shift towards technology-driven high-quality development [1][2][4] Recruitment Focus - The banks are prioritizing candidates with experience in artificial intelligence, financial technology, and related fields, reflecting a preference for practical skills over purely academic qualifications [2][4] - Nanjing Bank's recruitment announcement specifies that applicants must have obtained a PhD within the last three years or be graduating by July 2026, with a focus on candidates under 35 years old [2] - GF Securities is also targeting PhD graduates from January 2024 to August 2026, with similar age and qualification requirements, emphasizing backgrounds in computer science, artificial intelligence, big data, and quantitative finance [2][3] Strategic Shift - The banks are transitioning from traditional scale expansion to a focus on efficiency and risk management, driven by the need to adapt to a challenging financial environment characterized by narrowing net interest margins [4][5] - The research topics set by these banks highlight their commitment to integrating advanced technologies like AI into their operations, with specific areas of focus including digital transformation, risk management, and enhancing customer service [3][4] Talent Demand Transformation - There is a notable shift in the banking sector's talent requirements from "single skill" to "cross-disciplinary integration," emphasizing the need for professionals who can bridge finance and technology [4][5] - The banks are increasingly valuing practical experience and the ability to produce actionable research outcomes, contrasting with the traditional academic focus of universities [4][5] Future Directions - The banks aim to leverage AI for smart risk control, intelligent operations, and inclusive finance, marking a significant evolution in their business models from service providers to intelligent solution providers [5]