Assc Analytics & Model Analyst

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

• 1–2 years in data analytics, data modelling, coding, or related fields.
• Proficiency in Python or R for analytics and automation.
• Familiarity with SQL and data manipulation tools.
• Exposure to statistical methods and analytical frameworks.\
• Eager to learn new technologies and adapt to diverse projects.
• Detail-oriented, self-driven, and comfortable working independently or in cross-functional teams.
• Strong written and verbal skills for presenting analytical insights.
• Exposure to UI design principles and tools (e.g., React.js, JavaScript).
• Familiarity with Generative AI concepts and frameworks (e.g., transformer models, LLMs).
• Experience with data visualization libraries or platforms.
• Understanding of cloud platforms (AWS, Azure, GCP) for analytics projects.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, Operations Research, or a related field.

Responsibilities

• Analyze and interpret data from various sources to support catastrophe risk modelling, loss analytics, and property data quality assessment.
• Draw meaningful insights from research papers and industry publications relevant to insurance domains.
• Automate routine data processes using Python or R.
• Apply standard statistical methods for data analysis, quality assurance, and reporting.
• Communicate analytical findings through presentations, charts, and written reports.
• Collaborate on cross-functional projects, translating data into actionable insights and supporting ad-hoc analysis.
• Contribute to the enhancement of data products and solutions used in insurance risk management workflows.
• Stay updated with advancements in data analytics, modelling techniques, and relevant technologies.

About the team

The team focuses on developing products related to insured property exposures, data, and related applications. Such products are an important part of Moody’s Insurance product line and provide a wealth of valuable information for our clients. The candidate will be working in a multidisciplinary environment developing, designing, and implementing a wide range of data products and solutions used in catastrophe risk modeling, valuation modeling and Property & Casualty data quality assessment and enhancement. The candidate will be expected to gain and further utilize an 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.