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
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2-3 years of hands-on experience in a similar analytics, data science, or data product development role
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Proficiency in Python or R programming; Julia programming skills are a plus
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Strong ability to manipulate and analyze data using SQL and Microsoft Office, with a high level of expertise in Excel
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Excellent written, documentation, and verbal communication skills, as demonstrated through white papers, technical documentation, presentations, or conference materials
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Analytical and innovative thinking, problem-solving skills, and the ability to work effectively in multidisciplinary and cross-functional environments
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Applied statistics skills, including distributions, statistical testing, regression, and related methods
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Experience in data mining, text mining, machine learning, or developing statistical models is preferred. Detail-oriented, self-driven, and quick to learn, with strong analytical and problem-solving skills and a high degree of self-motivation
Education
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Bachelor’s degree or Master’s degree in computer science or a science-related field, including but not limited to operations research, applied mathematics, econometrics, or statistics
Responsibilities
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Draw meaningful insights and inferences from white papers and research papers across insurance domains that are available online
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Enhance data collection procedures to include information relevant for building analytic systems
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Automate recurring processes using Python, R, Julia, or similar programming languages
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Provide professional analytical support across all phases of data analysis, including statistical analysis, quality assurance and quality control, documentation, and presentation
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Communicate analytical insights through sophisticated synthesis and packaging of results, including presentation slides and charts
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Serve as an active participant on cross-functional projects by interpreting data, translating findings into actionable insights, and supporting ad hoc analysis and reporting
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Ability to independently drive projects and demonstrate technical ownership of assigned work
About the team
The team focuses on developing products related to insured property exposures, data, and related applications. These products are an important part of Moody's Insurance product line and provide valuable information for clients. The role works in a multidisciplinary environment to develop, design, and implement data products and solutions used in catastrophe risk modeling, valuation modeling, and Property and Casualty data quality assessment and enhancement. The candidate is expected to gain and apply in-depth knowledge of the products and relevant technologies.
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.
