Noida, Uttar Pradesh, India
Live, first seen by us 58 days agoAnalyze structured, semi-structured and geospatial datasets to find trends and anomalies
Support development of property insurance datasets, spatial layers and reporting solutions
Validate datasets and investigate data quality issues to improve model inputs
Build documentation, dashboards and reports that support decisions
Work with analysts, modelers, engineers and global stakeholders on data-driven solutions
Analyze structured, semi-structured, and geospatial datasets to uncover trends, identify anomalies
Support the development and enhancement of property insurance datasets, analytical products, spatial data layers, and reporting solutions
Apply statistical and analytical techniques to improve data quality, validate datasets, investigate issues
Develop clear documentation, analytical summaries, dashboards, presentations, and reports that enable informed decision-making
Partner with analysts, data scientists, modelers, engineers, and global stakeholders to deliver scalable, data-driven solutions
Bachelor's or Master's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, GIS, Remote Sensing, Actuarial Science, Business Analytics, or another quantitative discipline with relevant professional experience. OR
Education - Bachelor's or Master's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, GIS, Remote Sensing, Actuarial Science, Business Analytics, or another quantitative discipline with relevant professional experience. OR - PhD in a quantitative or analytical field with up to 2 years of relevant experience
- Bachelor's or Master's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, GIS, Remote Sensing, Actuarial Science, Business Analytics, or another quantitative discipline with relevant professional experience. OR - PhD in a quantitative or analytical field with up to 2 years of relevant experience Responsibilities
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Skills and Competencies - 3 to 5 years of experience in data analytics, statistical analysis, analytical research, spatial data analysis, or related quantitative disciplines, with strong proficiency in SQL and Python - Hands-on experience using Python libraries such as Pandas and NumPy to analyze, validate, transform, and interpret large datasets Strong analytical, critical thinking, and problem-solving skills, with the ability to translate business requirements into actionable insights and communicate findings to diverse stakeholders
- 3 to 5 years of experience in data analytics, statistical analysis, analytical research, spatial data analysis, or related quantitative disciplines, with strong proficiency in SQL and Python - Hands-on experience using Python libraries such as Pandas and NumPy to analyze, validate, transform, and interpret large datasets Strong analytical, critical thinking, and problem-solving skills, with the ability to translate business requirements into actionable insights and communicate findings to diverse stakeholders - Experience with data quality assessment, testing, reconciliation, automation, and process improvement initiatives; familiarity with AI-assisted workflows and effective prompting techniques
- Experience with data quality assessment, testing, reconciliation, automation, and process improvement initiatives; familiarity with AI-assisted workflows and effective prompting techniques - Exposure to visualization tools such as Tableau or Power BI, cloud-based analytical environments, data pipelines, or ETL workflows is preferred - Knowledge of GIS, catastrophe modeling, insurance analytics, risk management, machine learning, or related analytical domains is advantageous
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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
Education
Responsibilities
About the Team
The Data Analytics & Solutions team within Model Development is responsible for developing, validating, and enhancing property data and analytical solutions that support property exposure assessment and catastrophe risk modeling. The team works with large-scale property, geospatial, and risk-related datasets to improve data accuracy, consistency, and usability. This role offers the opportunity to collaborate with multidisciplinary teams across India, London, and the United States while building deep expertise in analytics, data quality, property intelligence, and risk-focused 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.
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Noida, Uttar Pradesh, India
Education - Bachelor's or Master's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, GIS, Remote Sensing, Actuarial Science, Business Analytics, or another quantitative discipline with relevant professional experience. OR - PhD in a quantitative or analytical field with up to 2 years of relevant experience
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