AI technology finance company PFCT (PFCT Technologies, CEO Lee Su-hwan) announced on the 26th that it successfully concluded the 3rd <PFCT AI Credit Rating Academy> held for 5 days from January 19th to 23rd at the PFCT headquarters in Seocho-gu, Seoul.
With financial authorities recently highlighting the AI-centric transformation of the financial industry and the implementation of data-driven finance as key priorities, the importance of cultivating AI talent capable of practical application in the field is growing. The PFCT recognizes the need to cultivate specialized talent beyond the development of AI credit rating models, encompassing data-based risk management and AI operations within the financial sector. Starting in January 2025, the PFCT will be operating a biannual academy.
This third academy, unique in its focus on AI credit rating modeling, comprehensively covered the entire AI application process across financial institutions' risk management, interest rate, and limit strategies, encompassing decision-making processes. Focusing on AIRPACK, PFCT's AI risk management solution, currently provided to savings banks and credit card companies, participants learned about the principles of AI credit rating model development, model design and validation based on de-identified financial data, interest rate and risk strategy analysis, and case studies of AI risk management in financial institutions.
Furthermore, PFCT's self-developed AI agent platform and LLM training provided training on how to utilize it, enabling participants to understand how AI can be integrated into financial business processes and improve operational efficiency. On the final day of the training, a hands-on "Air Pack Game Day" program was held, allowing participants to directly simulate AI credit ratings and interest rate strategies in an online lending market environment based on de-identified financial data.
This academy brought together undergraduate and graduate students from diverse fields, including financial engineering, statistics, and industrial engineering. The curriculum was designed and delivered by PFCT technology consultants and current AI developers and data analysts. Successful graduates will also be provided with opportunities to participate in real-world financial institution projects through internships.
“It was meaningful to be able to implement an AI credit rating model while handling actual financial data and learn how the technology is utilized in financial organizations,” said Yeoeun Yoon, a graduate of the Department of Artificial Intelligence at Sungkyunkwan University. “Through the Airpack, AI agent, and LLM training, I was able to specifically understand the direction of AI utilization based on the financial domain.”
Jae-Kyun Lee, Chief Business Officer (CBO) of PFCT Financial Business Solutions, said, “AI financial technology is a key infrastructure that simultaneously increases financial productivity and risk management levels, and the Academy is a program to cultivate technical talent that can be immediately applied in the field.” He added, “PFCT will continue to cultivate AI financial technology talent that can create real value in the financial field.”
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