Job highlights

- Master s or Bachelor s degree in Engineering,Finance,Mathematics,Economics,Computer Science,or a related field . 3+ years of experience in structured finance,quantitative analytics,or financial technology roles .
- experience with cashflow modeling and credit risk analytics is preferred .

Job Summary At Moodys, 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 chance, 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

- Strong programming skills (e.g., Python, SQL, C++, C#) with proven experience building analytical solutions and working with APIs
- Solid understanding of fixed income and structured finance products (RMBS, ABS, CMBS,



CLOs); experience with cashflow modeling and credit risk analytics is preferred
- Excellent communication and presentation skills, with the ability to explain complex concepts clearly to both technical and non-technical stakeholders
- Strong analytical, debugging, and problem-solving skills, coupled with a highly detail-oriented and proactive mindset
- Proven ability to work effectively in a global, cross-functional team and manage multiple priorities with a strong sense of ownership
- Exposure to AI/ML tools, data science workflows, or applied analytics techniques is desired

Education

- Master s or Bachelor s degree in Engineering, Finance, Mathematics, Economics, Computer Science, or a related field
- 3+ years of experience in structured finance, quantitative analytics, or financial technology roles

Responsibilities

- Design, develop, and deliver custom analytical solutions for global structured finance clients, bridging finance, technology, and client needs
- Serve as a primary technical contact for clients, supporting onboarding, understanding requirements, and delivering customized analytical solutions and workflows




- Design and develop client-specific tools and robust solutions by leveraging APIs, internal platforms, and strong programming skills
- Perform structured finance analysis, including troubleshooting and enhancing cashflow models for asset classes such as RMBS, ABS, CMBS, and CLOs
- Partner with sales teams in client discussions and proof-of-concepts (POCs) to demonstrate platform capabilities and drive adoption
- Collaborate with Product and Technology teams to define new features, enhance platform functionality, and integrate AI/ML capabilities
- Identify opportunities to automate and streamline workflows, improving efficiency, accuracy, and data quality across client deliverables
- Mentor junior analysts and contribute to team capability building and best practices in coding and analytics

About the team

Our Client Solutions team is responsible for bridging the gap between our powerful analytics platforms and our clients unique business needs. We design and deliver bespoke solutions, drive product adoption, and ensure our clients derive maximum value from our services. By joining our team, you will be part of exciting work at the intersection of finance, analytics, and technology, with a direct impact on product development and client-facing solutions Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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