Moody's Analytics, Inc. logo

Senior Software Engineer

Moody's Analytics, Inc.

NEW YORK, NYJobSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Work Authorization
Not specified

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Job overview

Moody’s is seeking a Senior Software Engineer to build and maintain back-end systems for insurance analytics applications. The role focuses on scalable, reliable services and web applications, technical design, code quality, testing, and collaboration with product, data science, and machine learning partners. The team builds databases, APIs, and applications supporting Moody’s insurance analytics platform.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLRubySoftware ArchitectureArtificial IntelligenceAI ToolsAI Risk ManagementResponsible AIBack-End DevelopmentScalable Systems DesignProblem-SolvingAdaptabilityCommunicationGeographic Information Systems

Qualifications

Bachelor's in STEM or Master's in STEM or PhD in STEMBachelor's Plus 7 Years or Master's Plus 4 Years or PhD Plus 2 Years

Full job description

14421 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 Python and SQL alongside other scripting languages such as Ruby, with a demonstrated understanding of software architecture principles required to design scalable systems * Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use * Strong ability to design and implement high-quality, scalable, and maintainable back-end code solutions that meet business and technical requirements * Demonstrated initiative and autonomy in problem-solving, with the ability to translate abstract requirements into well-defined technical objectives * Proven adaptability, with a track record of learning new programming languages, tools, and technology stacks and applying them effectively based on business needs * Excellent written and verbal communication skills, with the ability to articulate technical concepts and business requirements to technical and non-technical stakeholders * Knowledge of Geographic Information Systems (GIS) is preferred but not requiredEducation * Bachelor's degree in a STEM field with 7+ years of relevant hands-on industry experience, or * Master's degree in a STEM field with 4+ years of relevant hands-on industry experience, or * PhD degree in a STEM field with 2+ years of relevant hands-on industry experienceResponsibilitiesBuild and maintain robust, scalable back-end systems that power high-performance insurance analytics applications. * Design, build, and maintain extensible back-end services and web applications with a focus on architecture, scalability, and reliability * Participate in technical design discussions and provide expert input across the back-end technology stack * Perform code reviews and technical analysis to ensure code quality, maintainability, and alignment with engineering standards * Develop and maintain unit and end-to-end tests to ensure system performance and reliability * Collaborate closely with product, data science, and machine learning partners to translate business requirements into technical solutions * Evaluate new tools and technologies and provide recommendations to continuously improve the back-end technology stack * Own critical components of back-end development, demonstrating strong technical judgment and collaboration skillsAbout the TeamOur software engineering team is responsible for building the core databases, APIs, and applications that support Moody's insurance analytics platform. By joining the team, you will collaborate closely with machine learning engineers and data scientists to solve complex engineering challenges and deliver meaningful impact for customers and internal partne

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