Lead Credit Associate

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 3 to 5 years of relevant experience in credit analysis and structured finance is preferred Proven ability to work effectively in a project team environment Ability to adapt to a changing environment and prioritize work accordingly Professional, pro-active, flexible, diligent and dependable Strong organizational skills High attention to detail Good knowledge of MS Excel, Power Point and Word Able to identify opportunities to leverage AI to improve efficiency, enhance decision-making, and support team objectives. Strong verbal and written communication and presentation skills Fluency in English required Structured finance knowledge preferable Education Bachelor or Master’s degree in Finance, Economics, Data Science, Financial Engineering or related quantitative field Responsibilities Support senior analysts across different offices on methodology development projects with, data gathering, analysis, preparing presentations and writing internal and external documents Lead low complexity methodology development project including analytical development, project management, working group and senior stakeholders management Liaise effectively with methodology working group members, including analysts in rating groups and the methodology group, as well as the MR group responsible for developing models, scorecards and analytical tools used in conjunction with methodologies Support delivery managers with reporting and managing of agile projects Obtain exposure to a broad range of sectors across many rating groups globally Be mentored by senior analysts to further develop analytical and credit skills Collect, analyze and document data Work with models and tools for purposes of methodology development Draft presentations and other methodology-related documentation Develop working knowledge of Moody’s sector and cross-sector methodologies Perform administrative tasks and ad-hoc assignments About the team The Methodology Development Group (MDG) at Moody’s is responsible for developing and publishing all new rating methodologies and revisions to existing rating methodologies used by Moody’s Ratings to assign and monitor ratings across sectors and asset classes. MDG includes the Methodology Analytics, Content and Delivery teams. The Methodology Analytics team owns the analytical development of methodologies and scorecards and acts as the principal point of contact for rating teams in the development process. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. #J-18808-Ljbffr