Core Insights - The recruitment demand for AI-related positions in securities firms has significantly increased, with a notable focus on roles such as AI algorithm engineers, AI product managers, and AI content analysts [1][7][12] - Major securities firms like CITIC Securities and Huatai Securities have expanded their hiring scales, with CITIC Securities specifically listing AI roles as a priority for the first time in its recruitment guidelines [2][6] - The trend indicates a shift in the industry towards integrating AI technologies into various business applications, with firms exploring AI's potential to enhance existing services and develop new products [12][13] Recruitment Trends - Securities firms have seen a clear recovery in recruitment compared to last year, with an increase in the number of positions offered, particularly in financial technology, wealth management, and research analysis [1][6] - CITIC Securities has opened over 100 positions, with AI roles being highlighted as a new focus area, reflecting a broader industry trend [1][2] - The recruitment landscape is evolving, with firms like Dongfang Caifu and Tonghuashun emphasizing AI-related roles in their management trainee programs, targeting candidates with a blend of financial and technological expertise [7][10] AI Positioning and Responsibilities - AI positions are primarily located within the headquarters' information technology departments, focusing on the application of AI technologies across various business scenarios [6][11] - Specific responsibilities for AI roles include exploring large model applications, data analysis, and developing intelligent applications to support business needs [6][11] - The differentiation in AI role offerings between traditional and internet-based securities firms highlights a growing emphasis on innovative and specialized positions within the industry [10][12] Talent Acquisition Challenges - The competition for qualified AI talent is intensifying, with securities firms competing not only among themselves but also with internet companies for skilled candidates [12] - The demand for candidates with diverse backgrounds, including both technical and non-technical fields, is increasing, as firms seek individuals who can bridge the gap between technology and business [11][12] - The current AI talent pool is limited, making it challenging for firms to find candidates who can effectively meet their business needs [12] Strategic Differentiation - There is a noticeable divide between leading and smaller securities firms in their AI talent strategies, with larger firms more actively establishing dedicated AI roles [12] - The perception of AI is evolving from a mere tool to a potential product line, with some firms beginning to develop AI as an independent business segment [12] - The long-term outlook suggests that AI talent will become a critical competitive advantage for securities firms in the future [12][13]

Group 1 - The core viewpoint of the report indicates a significant surge in AI job openings since 2025, with a pivotal turning point in February, leading to six consecutive months of double-digit growth in new job postings [1] - By the end of July, over 1,000 companies on the platform had posted 72,000 AI-related positions, showcasing a competitive landscape between large tech firms and specialized AI companies [1] - The average monthly salary for new AI positions reached 61,475 yuan from January to July 2025, reflecting a 4.33% increase compared to the same period in 2024 [1] Group 2 - Algorithm-related positions dominate the AI recruitment landscape, with over half of the top 20 hot job postings being closely related to algorithms [2] - The "large model algorithm" ranks first in the hot job postings with a recruitment index of 94.16, while "search algorithm" is identified as the most scarce talent position in the AI field, with a talent supply-demand ratio of only 0.39 [2] - Non-technical positions in the AI sector have also seen rapid growth, with new non-technical job postings increasing 7.74 times from January to July 2025 compared to the same period in 2024, with product, operations, and design being the three main areas of demand [2]