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BackKakao Bank provides additional KRW 1.2 trillion in loans to low-to-mid credit borrowers using alternative scoring model
Kakao Bank provides additional KRW 1.2 trillion in loans to low-to-mid credit borrowers using alternative scoring model
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연합뉴스6/11/2026Business1 min readSouth Korea

Kakao Bank provides additional KRW 1.2 trillion in loans to low-to-mid credit borrowers using alternative scoring model

Quick Look

  • Kakao Bank announced it has provided an additional KRW 1.2 trillion in loans to low-to-mid credit borrowers by utilizing an alternative credit scoring model based solely on non-financial data.
  • This model, developed in-house, has enabled the bank to approve loans for approximately 12% of borrowers who would have been rejected by traditional methods.

AI-generated summary

Why It Matters

Kakao Bank has developed and implemented an alternative credit scoring model that relies solely on non-financial data. This model utilizes pseudonymized combined data from various partners, including Kakao community, Lotte Members, Kyobo, and Korea Financial Telecommunications and Clearings Institute.

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카카오뱅크[323410]는 비금융 데이터로만 이뤄진 대안신용평가모형을 활용해 총 1조2천억 원 규모의 중·저신용 대출을 추가 공급했다고 11일 밝혔다.

카카오뱅크는 2022년 하반기 업계 최초로 카카오[035720] 공동체와 롯데멤버스·교보문고·금융결제원 등의 가명 결합 데이터를 활용해 독자적인 대안신용평가모형 '카카오뱅크스코어'를 개발했다.

2023년 대안신용평가모형을 적용한 이후 카카오뱅크가 취급한 중·저신용 대출 중 약 12%는 기존 모형으로는 거절 대상이었던 것으로 나타났다. 공급액 기준으로는 1조2천억원 규모의 중·저신용 대출이 추가 승인됐다.

이를 통해 카카오뱅크는 2017년 7월 출범 이후 누적 16조원이 넘는 중·저신용 대출을 취급했다.

카카오뱅크 관계자는 "중·저신용자를 비금융 데이터로 추가 선별해 대출을 공급함으로써 금융 소외 계층에 대한 신용 평가의 정확성과 포용성을 높이고 있다"고 밝혔다.

What to Watch

AI outlook — possibilities, not facts

  • Kakao Bank will continue to expand its loan offerings to low-to-mid credit borrowers using its alternative scoring model.

    Very likely · Medium term

  • Other financial institutions in South Korea may adopt similar alternative credit scoring models.

    Possible · Long term

Open Questions

  • What is the default rate for loans issued through the alternative credit scoring model compared to traditional models?
  • What specific types of non-financial data are being used in the 'Kakao Bank Score'?
  • What are the long-term implications of this model for financial inclusion in South Korea?
  • Are there plans to expand this model to other types of loans or financial products?

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This article was originally published by 연합뉴스.

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