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.
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6+ years designing and building production-ready backend services in C# / .NET Core, with strong command of asynchronous programming, dependency injection, and clean/layered architecture.
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Hands-on experience with desktop application development using WPF and the MVVM pattern (Prism or similar), including real-time updates (e.g. SignalR). (Desirable)
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Strong proficiency with SQL and NoSQL databases and a solid understanding of system architecture, secure coding practices, authentication, authorization, and encryption
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Proven experience building and operating serverless and microservices workloads on Azure— supporting scalable, reliable, event- and queue-driven systems (Azure Storage Queues, orchestrators).
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Strong problem-solving skills with a foundation in data structures, algorithms, and system design.
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Ability to learn quickly and work independently.
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Familiarity with IVY C# is plus for data extraction.
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Knowledge of finance, particularly structured finance, is a plus
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Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude.
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Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, or a related field.
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You will be involved in all aspects of PDLC, working directly with key business stakeholders to build and support structured finance applications.
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Design, develop, and maintain and supporting desktop/UI/Console components using C#/.NET and modern Azure/AWS technologies, working independently with minimal supervision.
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Architect, implement, and operate scalable, reliable, cost-efficient serverless applications and ETL pipelines on Azure/AWS, making independent technical decisions within agreed standards.
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Develop reusable pipeline patterns, frameworks, and templates to improve scalability and efficiency
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Take ownership of significant components, driving delivery from technical design through deployment and production support.
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Provide technical guidance and mentorship, supporting skill development and fostering a collaborative, inclusive team culture.
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Work closely with product managers, analysts, and stakeholders to translate business requirements into well-designed technical solutions.
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Contribute to CI/CD and DevOps improvements to streamline deployments and improve system reliability.
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Create and maintain technical documentation for system designs, data workflows, and APIs.
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Stay current with emerging technologies, including AI capabilities, and participate in team ceremonies to align solutions with strategic goals.
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Mentor engineers and promote best practices in data engineering and platform design
The Data Engineering team in the Structured Finance domain focuses on acquiring, processing, enriching, and maintaining data using in-house ETL workflows, modeling tools, and deal update frameworks. We deliver critical data for waterfall cash flow modeling products, which leverage extensive securitization deal libraries (e.g., CMBS, ABS, RMBS) and are widely used by industry leaders. We are seeking a senior software engineer to join our team and work on designing efficient data pipelines, developing scalable data extraction tools, and improving data processing workflows. This role offers hands-on experience in structured finance and the chance to tackle complex technical challenges while refining your problem-solving and engineering skills.
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.
