NH Bank Advances AI-Based Asset Management

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Kang Tae-young, President of NH Nonghyup Bank. [Photo= Electronic Times DB]

NH Nonghyup Bank is enhancing its customized asset management capabilities by integrating artificial intelligence (AI) with financial market information and asset allocation data. The bank aims to expand AI utilization from market analysis to investment strategy development, simultaneously improving consultation quality and employee productivity.

According to financial industry sources on the 15th, NH Nonghyup Bank is promoting the establishment of a 'WM AI Agent' that leverages market condition data and robo-advisor (RA) data. The core focus is linking market trend data—such as stock and bond movements—with portfolio analysis and asset allocation data within the AI asset management system.

Through this initiative, the bank plans to increase AI utilization by asset management staff during customer consultations and investment strategy development. By having AI analyze and organize market and investment-related data, employees can reduce the burden of manually searching multiple systems and quickly access necessary information for customer consultations.

This strategy also signifies progress beyond task identification and design, advancing to the stage of integrating specialized data required for actual financial operations. The AI's scope is expanding beyond simple search and summarization to support employees in formulating investment strategies and advising customers based on market trends and asset allocation data.

This approach is also noteworthy for its potential to expand revenue streams in asset management. While NH Bank's net profit for the first half of this year was 1.1629 trillion won, a 2.1% decrease from the same period last year, fee-based profits increased by 16.2% to 440.4 billion won. Enhancing asset management consultation capabilities and employee productivity through AI could strengthen competitiveness in non-interest sectors like investment products.

In April, NH Bank collaborated with LG CNS to identify tasks for AI agent application in asset management, consumer protection, and financial assistant services, designing agent roles and workflows. At the time, advanced customized asset management was highlighted as a key application area. In June, the bank officially announced its 'NH Agentic AI Bank' vision, formalizing a strategy to expand AI agent utilization across all financial operations.

Competition in AI-based asset management among banks is accelerating. KB Kookmin Bank has developed an AI agent to support asset management staff, and Woori Bank is also advancing AI agent adoption in asset management sales support.

A financial industry insider stated, “Once data integration, verification, and consumer protection systems are fully established, the concrete form of NH Bank's 'AI transformation across all wealth management processes' will become evident.”

· This article was translated using AI and was published after final review by the reporter.