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
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
Responsibilities
Analyze structured, semi-structured, and geospatial datasets to uncover trends, identify anomalies, and generate insights that support business and modeling decisions
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, and contribute to model and product improvement initiatives
Partner with analysts, data scientists, modelers, engineers, and global stakeholders to deliver scalable, data-driven solutions
Develop clear documentation, analytical summaries, dashboards, presentations, and reports that enable informed decision-making
Contribute to automation, operational efficiency, and innovation initiatives, including the adoption of AI-driven and agentic solutions
Build expertise in catastrophe risk, property exposure analytics, and related data and modeling technologies while expanding your analytical capabilities
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.
