Staff Software Engineer

13637 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. Skills and Competencies * Expertise in object-oriented languages: Proficiency in of C#, C++, or Java is required. This expertise ensures that the candidate can effectively develop and maintain high-performance risk analytics services, engines, and software infrastructure. * Strong skills in analytic computing and algorithms: A passion for finding and solving hard problems is essential. This ability ensures that the candidate can handle complex data processing tasks and provide innovative solutions. * Excellent communication skills: Necessary for conveying complex ideas clearly and concisely. Strong communication skills ensure that the candidate can articulate their vision and collaborate with cross-functional teams. * Experience in distributed or parallel computing: Familiarity with relational and big data technologies, batching systems, and highly distributed cloud systems is desired. This experience is necessary for developing scalable and efficient software solutions. * Strong mathematical background: Including statistics and numerical analysis. This knowledge is essential for performing detailed analyses and developing sophisticated computational techniques. * Familiarity with probabilistic and stochastic computational techniques: Ensures that the candidate can effectively resolve problems commonly encountered in the implementation of risk analysis models. * Experience with cloud systems: Past experience with cloud data access and computing is necessary for developing and maintaining cloud-based SaaS solutions. * Agile development: Desired experience ensuring that the candidate can handle multiple initiatives simultaneously and deliver results within deadlines. * Developing complex software systems: A proven track record of successfully delivering software systems to customers is highly desired, demonstrating the candidate's ability to manage product development from concept to delivery. * Ability to mentor: The demonstrated ability to mentor and guide junior engineers in all aspects of their engineering duties is essential for fostering a collaborative and productive team environment. * Communicating with users, engineering teams, and management: The experience is necessary for successfully collecting requirements, describing software product features, and providing technical designs.Education/Experience * Bachelor's or Master's in Computer Science or related engineering or scientific fields with 8+ years of industry experience, or Ph.D. with 5 years of industry experience.ResponsibilitiesIn the Model Platform team, you will work on platform and engines that use large-scale distributed data processing technology to deliver scalable, elastic, cloud-based SaaS solutions for detailed risk analyses. * Design, develop, and maintain: Engage in all aspects of high-performance risk analytics services, engines, and software infrastructure using C#. * Development plan