To implement the comprehensive educational teaching reform tasks of the university, build an application‑oriented school‑running model featuring demand‑driven supply and industry‑oriented research, accurately meet the talent demands of the fintech industry, and innovate the university‑enterprise collaborative talent‑cultivation mechanism, Weng Dewei, Deputy Party Secretary of Shanghai Polytechnic University, led a delegation including persons‑in‑charge and key teachers from the Academic Affairs Office and the School of Mathematics‑Physics and Statistics to carry out special exchange on university‑enterprise cooperation at SINITEC on August 19, 2026. Zhao Liang, President of SINITEC, Chen Lan and Yao Yuan, Vice‑Presidents, Liu Ruiping, Product Director, as well as relevant department heads attended the meeting. The two sides conducted in‑depth discussions on core topics such as talent cultivation in the era of digital‑intelligent finance, university‑enterprise collaborative talent training, and quality improvement and upgrading of the order‑form class, and reached multiple consensus on in‑depth cooperation.

During the forum, Liu Ruiping, Product Director of SINITEC, briefly introduced the enterprise’s development history, business layout and talent cultivation system. With the comprehensive digital and intelligent upgrading of the financial industry, the enterprise delves into core fields including data infrastructure, intelligent middle platform and AI applications, and has built a full‑chain fintech product system. There is a continuously growing demand for compound application‑oriented talents with capabilities in data analysis, technology development and industrial investment research. Combining the development trend of the AI industry, President Zhao Liang stated that artificial intelligence has reconstructed the development ecosystem of the fintech industry and broken the traditional barriers for talent competence. The core competitiveness of talents in the new era is reflected in continuous learning, critical thinking and hands‑on AI application capabilities. The enterprise’s high standards for graduates’ intelligent application and innovation adaptability provide precise industrial reference for our university to optimize talent‑training programs and iterate curriculum systems.

Based on the university’s school‑running orientation and reform‑and‑development ideas, Deputy Party Secretary Weng Dewei introduced the characteristics of application‑oriented undergraduate education at our university and the development plan of the School of Mathematics‑Physics and Statistics. Adhering to the cultivation of application‑oriented talents, the university advances educational and teaching reforms guided by industrial demands, fully practices the philosophy of serving science and cultivating talents for industries, and strives to resolve the mismatch between talent cultivation and industrial development. She expressed gratitude to SINITEC for recruiting and cultivating graduates from our university over the past two decades and supporting the university’s talent training. She pointed out that this visit and research serves as an important practice for the university to conduct industry‑oriented research and optimize teaching based on actual demands.

Building on the long‑term cooperation foundation of both sides, this exchange focused on special discussions on quality improvement and expansion of the SINITEC Special Class. Both sides agreed to further expand the selection scope of the special class, flexibly optimize talent‑training programs closely centering on core job requirements of the enterprise, iteratively upgrade the professional curriculum system, embed special industry‑education integration courses in advance, and boost the precise matching degree between talent cultivation and industrial posts in an all‑round manner.

This exchange marks a key practice for our university to deepen educational reform and implement industry‑education integration. Going forward, based on industrial demands, the university will further deepen university‑enterprise collaborative talent training, innovate the fintech talent‑cultivation mode, improve the talent‑training system of industry‑oriented research and demand‑driven supply, and deliver high‑quality application‑oriented talents for the intelligent development of the industry.