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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.
Strong analytical skills with the ability to interpret complex financial, operational and data-related information and translate findings into practical solutions
Interest in structured finance, securitisation, asset-backed securities, residential mortgage-backed securities and technology-enabled client solutions
Ability to read, interpret and document detailed business requirements, legal terms and payment priority structures
Strong spreadsheet and quantitative skills with a high level of attention to detail and accuracy
Effective communication skills with the ability to explain modelling, reporting and data-related outcomes to clients and internal stakeholders
Exposure to SQL, reporting tools, databases, financial modelling, Python or VBA is preferred
Ability to manage multiple priorities, work collaboratively and contribute to client implementation and support projects
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.
Undergraduate or graduate degree in Finance, Economics, Engineering, Accounting, Mathematics, Computer Science or a related quantitative discipline
Exposure to banking, credit, financial services, data analysis or a related field through internships, academic projects, graduate placements or professional experience is preferred
Support the delivery and implementation of structured finance solutions through financial modelling, analytics, client support and product configuration activities.
Conduct research to understand securitisation structures, asset classes, client requirements and market developments
Convert payment priorities and legal documentation terms into financial models using structured finance software applications
Support the implementation, configuration and customisation of structured finance platforms and related client solutions
Assist clients by responding to product, modelling, reporting and business-related enquiries
Build, maintain and enhance reports using reporting tools, spreadsheets and data analysis solutions
Develop business requirements, execute data queries, perform testing activities and validate solutions against client requirements
Discuss, explain and reconcile modelling, reporting and data outputs with clients and internal stakeholders
Use approved AI-enabled tools responsibly to support research, documentation, testing support, knowledge sharing and process improvement initiatives
The Structured Finance Advisory Services team sits at the intersection of structured finance, technology and client advisory services. The team partners with leading financial institutions globally to implement, configure and enhance securitisation solutions that address complex business, operational and regulatory challenges. By joining the team, you will work alongside professionals with expertise in financial modelling, analytics, reporting, data management and software implementation while contributing to a culture focused on collaboration, continuous learning, innovation, automation and responsible AI-enabled ways of working.
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.
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