Senior Insurance Credit Analyst — AI-Driven Ratings

S&P Global

Hong Kong

On-site

HKD 600,000 - 900,000

Full time

14 days+

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Job summary

S&P Global Ratings in Hong Kong is seeking a senior credit analyst to lead analysis for financial institutions, integrating AI-enabled workflows while ensuring governance and high-quality outputs. You will oversee data discipline, synthesize market signals, and communicate clear, stakeholder-ready insights.

Fluency in English and Korean is required, with a background in credit analysis and a strong governance mindset. Prior experience with AI in analytical tasks is highly valued.

Qualifications

  • Strong credit, financial and risk analysis skills with forward-looking views.
  • Clear written and verbal communication for senior stakeholders.
  • Experience embedding AI or automation in analytical workflows.
  • High standards for analytical quality, traceability and governance.
  • English and Korean fluency required.

Responsibilities

  • Guide and coach research staff in credit analysis and data discipline.
  • Lead end-to-end credit analysis for assigned institutions with portfolio context.
  • Prepare inputs and outputs, document assumptions to ensure methodological adherence.
  • Translate analysis into clear client-ready narratives and advise on issues.
  • Support responsible AI use and contribute to automation workflow design.

Skills

Credit analysis
English fluency
Korean fluency
AI in workflows
Data interpretation

Education

Bachelor's degree or equivalent
Master's degree or CFA valued

Tools

AI tools

Job description

S&P Global Ratings in Hong Kong is seeking a senior credit analyst to lead analysis for financial institutions, integrating AI-enabled workflows while ensuring governance and high-quality outputs. You will oversee data discipline, synthesize market signals, and communicate clear, stakeholder-ready insights.

Fluency in English and Korean is required, with a background in credit analysis and a strong governance mindset. Prior experience with AI in analytical tasks is highly valued.

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