Empowering the Future with Data: An Exclusive Interview with Wei Xiaohe, A Trailblazer in Chinese FinTech

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By:Oliver Green

In today’s financial market, the continuous evolution of product and service structures aligns with dynamic demands, especially with the rapid advancements in internet technology, artificial intelligence, and big data. The deep integration of these technologies with the financial sector has driven innovation, catalyzing high-quality development in financial investment and intelligent transformation in the digital economy. WEI Xiaohe, a rising star in China’s financial investment analysis and a seasoned investment officer in family office management, exemplifies the professionalism and insight of the younger generation of financiers. In an exclusive interview, she shared her journey of standing out in a highly competitive market by leveraging technology and innovation, and how she incorporates AI into investment decision-making to balance risk control with asset appreciation. Her story illuminates the vast potential of financial and technological convergence.  

As the Chief Investment Officer at Fujian Sansong Group, WEI oversees the management of over 3 billion RMB in family assets. Under her leadership, Sansong Group has established in-depth collaborations with leading private equity firms, such as Hillhouse Capital, WuYueFeng Sci-Tech Innovation Fund, Huakong Fund, and CITIC Industry Fund. Her team has contributed to the incubation of multiple publicly listed companies, including Giant Biogene (02367), Fourth Paradigm (06682), and LuminWave Technology (688167). Furthermore, the group maintains partnerships with over 20 listed companies through structured offerings, convertible bonds, and M&A funds. In the secondary market, WEI developed a quantitative stock selection and ETF trading strategy that integrates data-driven analysis with subjective judgment. By combining effective stock selection factors, risk control indicators, and timely subjective decision-making, her strategies have generated substantial returns for the group. Beyond domestic investments, she has actively expanded into overseas markets, constructing cross-border investment frameworks and diversifying into assets like gold, U.S. dollars, and bonds. This approach ensures stable returns even amidst global financial turbulence. Her investment portfolio spans equities, stocks, bonds, and options, leveraging evolving strategies to achieve steady capital appreciation and positioning Sansong Group as a significant force in the capital markets.  

Amid the fast-changing financial landscape, effective risk assessment has become the cornerstone of decision-making. WEI developed the “Risk Assessment System for Private Placement of Listed Companies Supported by Big Data Analysis” , powered by big data and machine learning. This platform offers precise risk assessments by analyzing multi-dimensional data, including financial metrics, shareholder structures, and industry trends, while considering market movements and macroeconomic factors. The system produces comprehensive risk evaluation reports, enabling rational decision-making in complex market environments. A key strength of this system is its adaptability—dynamically adjusting models in response to market changes to deliver real-time investment advice. WEI emphasizes that this innovation not only identifies potential risks but also uncovers opportunities, making it a critical tool for navigating modern financial uncertainties.  

As market volatility and risk factors grow increasingly complex, traditional financial analysis methods often fall short of meeting the demand for fast and accurate investment decisions. Conventional approaches require agility and precision, yet human capabilities struggle to process massive datasets in real time. To enhance portfolio resilience, data and machine learning’s computational precision are indispensable for seizing fleeting market opportunities. Against this backdrop, WEI developed another pioneering tool: the “Financial Investment Decision Management System Supported by Artificial Intelligence Quantitative Model.” This system combines data analytics, machine learning, and AI to improve decision accuracy and risk resilience. It features real-time data interfaces to capture financial market information, dynamically adjusts investment portfolios, and incorporates a robust risk management module that provides multi-dimensional market risk analysis. The system empowers investors with stable and scientific allocation strategies in rapidly shifting market conditions.  

Despite her remarkable achievements, WEI remains humble. “The ultimate value of Financial Technology lies not just in profitability but in risk control and stability,” she reflects. While maximizing returns, enterprises must also build resilience against market fluctuations. Her intelligent decision-making systems are designed with this ethos: to help entrepreneurs and investors make informed judgments in complex market environments.  

The true value of Financial Technology is making financial services more transparent, open, and efficient. WEI’s vision transcends creating high-yield tools—she aims to make data accessible to a broader audience. Her innovations break down informational barriers, enabling businesses and individuals to adopt forward-looking investment strategies. Her groundbreaking contributions have garnered widespread recognition at national Financial Technology forums, and numerous financial institutions have adopted her solutions.  

Today, WEI Xiaohe is a pivotal figure in China’s Financial Technology landscape, inspiring the industry with her innovative approach. As our interview drew to a close, she offered a profound takeaway: “Finance has never been an isolated field. It’s a dynamic entity that co-evolves with technology. In the future, we need a more open mindset to embrace change.” Her vision is clear and resolute, signaling the direction for the financial industry’s future. We eagerly anticipate WEI and her team driving China’s Financial Technology sector forward, heralding a new era of intelligence and data-driven innovation.  

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