This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. 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 6 years in credit/financial data analysis (structured finance preferred); solid organizational and mentoring skills Extensive working knowledge of applicable methodologies with ability to perform holistic analysis to support ratings and research teams with limited guidance for certain advanced/bespoke tasks Comfortably and professionally interact with various senior stakeholders on a wide range of topics Ability to effectively engage with team members of most levels and across departments Manage deliverables related to multiple projects independently Advanced Microsoft Excel, and various technical/operational aspects of deliverables Fluent in English with excellent written, verbal, and interpersonal abilities Basic understanding of AI concepts (Generative AI

📌 Mgr-RRS GCC (Karnataka)
🏢 Moody's
📍 Karnataka