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. Moody's is looking for software engineers who are excited and passionate about tackling complex challenges in processing large amounts of data within the context of a highly analytical, model-based computation framework. We are looking to solve challenging science and business problems that will have a real-world impact. In the Analytics Engines Team, you will contribute to platform engines which utilize large scale distributed data processing technology to deliver highly scalable, elastic, and cloud-based Saas solutions which perform detailed Risk Analyses. Our team is responsible for developing backend systems for analyzing risk and performing financial calculations. We contribute to multiple applications on the Risk Analysis platform in contribution to calculating primary and reinsurance losses for our customers. By joining our team, you will be part of exciting work in a remote team across multiple time zones within the US.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees