AI成核心方向 银行启动博士后招聘

Core Insights - Multiple banks, including Agricultural Bank of China, Minsheng Bank, Bank of China, and others, have initiated recruitment for postdoctoral researchers for 2026, focusing on strategic research and innovation in the financial sector [1][3][4] - The recruitment emphasizes interdisciplinary backgrounds, particularly in artificial intelligence, big data, and financial technology, reflecting a trend towards integrating technology with traditional finance [5][6] Recruitment Conditions - The recruitment criteria are becoming stricter, with banks favoring candidates with interdisciplinary and practical financial experience, typically requiring a PhD obtained within the last three years or expected graduation by mid-2026 [3][4] - Specific banks, such as Nanjing Bank, have set age limits (under 35) and specified fields of study, including economics, finance, statistics, and computer science, with a preference for candidates with financial industry experience [3][4] Research Focus - The research topics reflect banks' strategic priorities, with a strong emphasis on AI, big models, and financial technology applications, particularly in risk management and customer service optimization [6][7] - Each bank has tailored its research topics to align with industry trends and operational needs, such as Nanjing Bank's focus on digital transformation and Agricultural Bank's exploration of AI-driven management models [6][7] Industry Trends - The recruitment surge is driven by the dual pressures of transformation in the banking sector and the opportunities presented by technological advancements, particularly in AI [7] - Experts suggest that the integration of AI in banking operations is crucial for enhancing efficiency and risk management, which are key demands in the current financial landscape [7] Practical Implications - The focus on practical research outcomes distinguishes banking postdoctoral programs from academic institutions, with banks prioritizing research that addresses real-world business challenges [7] - The emphasis on AI and regulatory compliance in research aims to create a balance between innovation speed and risk control, contributing to a safer and more regulated financial technology ecosystem [7]