Associate Software Engineer

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
Strong understanding of Object-Oriented design principles and software engineering fundamentals.
Working knowledge of relational databases and data-driven application development.
Proficiency in Python or other modern programming languages; Python strongly preferred.
Familiarity with cloud platforms such as AWS is a plus.
Exposure to modern data engineering tools such as dbt, Airflow, and Jinja is advantageous.
Strong analytical, quantitative, and debugging skills with persistence in problem-solving.
Ability and willingness to learn new technologies through self-directed learning.
Excellent verbal and written communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
Strong organizational skills, initiative, and a positive, growth-oriented mindset.
Proven ability to collaborate effectively with global, cross-functional, and virtual teams.

Education
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Academic or project-based experience in software development is preferred.
Participation in at least one hands-on project (academic or professional) is a plus.

Responsibilities
Design, develop, and support software solutions for financial data management and risk analytics platforms.
Contribute to the development of analytical, data, and software products supporting Fixed Income and Commercial Real Estate solutions.
Apply object-oriented design principles to build scalable and maintainable systems.
Work with relational databases to support data storage, retrieval, and processing needs.
Collaborate closely with team members to enhance existing products and develop new capabilities.
Debug, troubleshoot, and resolve technical issues across applications and data workflows.
Learn and adopt new technologies, frameworks, and tools to continuously improve product offerings.
Participate actively in team discussions, code reviews, and agile development practices.

About the Team
The CRE‑Keystone team at Moody’s Analytics operates as a core development group within one of the most dynamic areas of Fixed Income. The team supports data management, financial data, and risk analytics solutions used by global clients.
Functioning like a lean start‑up within a larger organization, the team values agility, creativity, and open communication. Engineers are encouraged to challenge existing ideas, make rapid decisions, and contribute innovative solutions while working in a fast‑paced, collaborative environment focused on delivering industry‑leading analytical and software products.

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.