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.
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

• Expertise in Java, Scala, C# or C++.
• Strong Skills in analytical computing and algorithms.
• Passion for finding and solving difficult problems.
• Excellent communication skills and proven ability to convey complex ideas to others.
• Preferred experience developing distributed systems and working with big data technologies.
• Experience developing and deploying cloud-based applications, preferably on AWS.
• Experience in functional programming.

EDUCATION

Bachelor or Master of Science in Computer Science or related fields with 5 or more years of industry experience

Moodys’ 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.

• Design, Develop, and Maintain high-performance risk analytics engines and Restful APIs for cloud-based applications using Java and Scala.
• Troubleshoot and resolve issues in production environments.
• Build and maintain infrastructure using AWS services (e.g. EC2, S3, RDS).
• Collaborate with fellow Engineers, Product team members, and Quality Engineers to develop multi-tier, multi-layered application framework and functional components.