AVP- Ratings (Financial Institutions)- Korean Speaking
About the role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 5+ years of experience in an analytical, research, or risk management role; experience in banking and non-bank financial institutions research preferred, though strong analytical backgrounds from other industries will be considered Strong understanding of financial institutions in Korea, including regulatory environments, ESG considerations, and emerging credit topics such as digital finance Demonstrates strong analytical, problem-solving, and presentation skills Excellent written and verbal communication skills, with the ability to clearly articulate complex analytical and strategic issues to diverse audiences Proficiency in English and Korean required; CFA or CPA designation is an advantage Strong organizational and project management skills, with the ability to multitask and meet tight deadlines Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use. Education Graduate / second-level degree (e.g., MBA, Master's) required or equivalent strong academic background