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“技术永远是主流”!大厂“秋招”抢人忙
Bei Jing Shang Bao· 2025-08-12 12:37
Core Viewpoint - The competition for talent among major tech companies is intensifying, particularly for roles related to artificial intelligence and financial technology, highlighting the need for versatile professionals who possess both financial knowledge and technical skills [1][5][9] Group 1: Recruitment Trends - Major tech companies such as Tencent, JD.com, Baidu, ByteDance, and Meituan have initiated their campus recruitment for 2026, focusing heavily on technical positions related to AI, privacy computing, and machine learning [1][3] - ByteDance's 2026 campus recruitment has expanded significantly, offering over 5000 positions compared to 4000 in 2025, with a notable 23% year-on-year increase in R&D roles [3][4] - Ant Group has launched the "Ant Star" program to attract top global research talent in AI, privacy computing, and security technology [3] Group 2: Skills and Qualifications - The demand for talent in financial technology is characterized by a need for individuals who understand both business and technology, with a focus on compliance and the ability to implement technology in a dynamic regulatory environment [5][9] - Candidates are expected to demonstrate strong problem-solving skills, engineering capabilities, and coding proficiency during the recruitment process, with a particular emphasis on project experience [4][8] Group 3: Challenges in Talent Acquisition - The search for versatile talent capable of bridging finance and technology is challenging, as such "all-rounders" are difficult to find due to a lack of experience [9] - There is a noticeable scarcity of positions directly related to financial business in the recruitment listings, with only a few roles available that require a combination of data analysis and programming skills [7][9] Group 4: Recommendations for Talent Development - Analysts suggest enhancing collaboration between universities and companies to better prepare graduates for industry needs, and establishing dual-track growth paths for talent development [9] - Implementing innovative error-tolerant mechanisms and encouraging job rotation within financial institutions can help cultivate the necessary skills in prospective candidates [9]
有多少“数据产业基金”,是在自嗨?
Sou Hu Cai Jing· 2025-06-17 02:41
Core Insights - The rapid development of the digital economy has highlighted the value of data as a new production factor, now recognized as the "fifth production factor" following land, labor, capital, and technology [2] - China's data output accounts for 10.5% of the global total, with a national action plan aiming for a compound annual growth rate of over 15% in the data industry by 2029 [2][3] - The establishment of data industry funds across provinces is accelerating, driven by government policies to enhance the marketization of data elements and support digital economic transformation [3][4] Data Industry Fund Growth - By June 2025, the total scale of data industry funds across provinces exceeded 150 billion yuan, a significant increase from less than 50 billion yuan in 2023, indicating strong governmental support for the data element market [4][5] - The growth of data industry funds is characterized by a shift from pilot projects to large-scale implementations, with notable funds established in 2023 focusing on diverse investment directions [7][10] Regional Development Patterns - Eastern coastal provinces are leading in fund establishment, with Guangdong's fund group reaching a total scale of 100 billion yuan, making it the largest known single data industry fund in China [13][14] - Central provinces like Henan and Hubei are catching up by focusing on integrating data elements with traditional industries, emphasizing application-driven characteristics [16][17] - Western provinces are leveraging national strategies like "East Data West Calculation" to enhance their data infrastructure, focusing on foundational projects and spatial data facilities [19][20] Investment Strategies - Investment directions are diversifying, moving from traditional infrastructure to include data assetization, cross-border data flow, and privacy computing [21][33] - Funds are increasingly aligning with national strategies, such as the Chongqing fund's focus on satellite internet and the Guangdong fund's emphasis on cross-border data flow [21][22] Challenges and Considerations - The rapid expansion of provincial data industry funds presents challenges, including the need for effective project conversion and the risk of homogeneous competition among provinces [34][35] - Compliance and security governance are critical, especially for funds involved in cross-border data flow, necessitating a balance between innovation and regulatory adherence [34][35]