Analytics & Modeling 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.

• 2–3 years of professional experience in software development.
• Good knowledge of JavaScript, , and modern front-end development practices.
• Strong knowledge of SQL Server, including query optimization and database design.
• Exposure to AI/ML concepts, tools, or frameworks (e.g., langchain, TensorFlow, PyTorch, scikit-learn).
• Familiarity with transformer-based models, LLMs, and generative AI.
• Understanding of agentic workflows and their application in intelligent systems.
• Familiarity with RESTful APIs and asynchronous programming.
• Experience with large datasets, asynchronous/parallel programming and optimization
• Knowledge of PostGIS and geospatial data handling.
• Exposure to cloud platforms (AWS, Azure, GCP).
• Understanding of data visualization tools and libraries.

• Bachelor's/ master's degree in computer science, Engineering, or a related field.

• Design, develop, and deploy machine learning models for real-world applications.
• Stay updated with the latest advancements in AI/ML (e.g., transformers, LLMs, generative models).
• Write clean, maintainable, and efficient Python code.
• Work with SQL Server for data extraction, transformation, and analysis.

Our Data Analytics and Solutions (ESDB) team is responsible for developing property database products that allows insurers to fill property attribute values, correct inaccurate entries, and enhance submissions in their risk management workflows.

The database integrates information from various sources such as tax records, high-resolution building data, predictive modelling, and specialty datasets. Key attributes in ESDB include number of stories, building area, year built, construction material, occupancy type, and other building characteristics. The database is continually enhanced using advanced techniques like LiDAR and machine learning to improve data quality and coverage.

This product goes as backend with various under writing, exposure enrichment and CAT modelling solutions within Insurance BU.

By joining our team, you will be part of exciting work in data analytics, software development and AI/ML driven solutions.

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.