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.

As a Quantitative Developer, you will design, implement, and optimize financial analytics systems for our leading-edge asset liability management product. This is an opportunity to translate world-class financial research into production-grade applications and drive innovation in financial technology. You will work in a dynamic international environment, collaborating with teams and clients across different countries and time zones.

Primary Responsibilities

• Design and implement financial models and analytics in production systems working closely with Research and Product Management teams
• Develop high-performance calculation engines for complex financial instruments and risk metrics
• Optimize system performance for large-scale financial computations
• Build and maintain automation frameworks for testing and code validation
• Collaborate with QFA team to ensure code quality and model accuracy
• Provide technical support and guidance to clients

Skills and competencies

• 2-5 years of professional software development experience, ideally in a cross-platform environment (Windows and Linux)
• Master's degree in Computer Science, Financial Engineering, Mathematics, Physics, or closely-related quantitative field
• Proficiency in one or more programming languages such as C++, C#, Scala, Java, or Python
• Genuine interest in finance and/or mathematics, with a passion for programming and using technology to solve quantitative challenges
• Experience with numerical computing libraries and optimization techniques
• Strong computational and algorithmic problem-solving skills
• Ability to translate mathematical models into efficient, maintainable code
• Experience with version control (Git/Github), CI/CD, and modern development practices
• Fluency in English, with strong written and verbal communication skills, is a mandatory requirement

Additional desirable skills

• Understanding of AI/ML concepts and interest in applying and using them
• Excellent communication skills, with the ability to clearly and concisely convey complex technical concepts to diverse audiences
• Detail-oriented, self-motivated, and able to work independently and in teams
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
• Spoken French is a plus

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.