Moody’s is hiring an Assc Analytics & Model Analyst for its Data Analytics & Solutions team in Noida. The role is suited to candidates with a bachelor’s or master’s degree in an engineering, data, statistics, mathematics, computer science, actuarial or another quantitative discipline, as well as MBA or PGDM candidates specialising in Data Analytics. The analyst will work with property, geospatial and risk-related datasets supporting catastrophe modelling and insurance analytics. It is worth considering for early-career professionals who want hands-on exposure to SQL, Python, data quality, spatial information and agentic AI in a global, cross-functional team.
Company Overview
Moody’s is a financial intelligence and risk assessment company whose work covers credit, risk, data and analytical products for organisations across markets. This position sits in its Insurance line of business, where analytical datasets and modelling solutions support property exposure assessment and catastrophe risk analysis. Experience at Moody’s can add recognised financial-services, data analytics and risk-domain exposure to an early-career professional’s CV.
Job Details
| Company Name | Moody’s |
| Job Role | Assc Analytics & Model Analyst |
| Qualification | Bachelor’s or Master’s degree in Engineering (B. E./B. Tech, M. E./M. Tech), Data Science, Statistics, Mathematics, Computer Science, Applied Statistics, GIS, Remote Sensing, Actuarial Science, or another quantitative or analytical discipline; MBA or PGDM with a specialisation in Data Analytics |
| Salary | Rs. 9-13 LPA (estimated) |
| Batch | |
| Job Location | Noida |
| Experience | 0 to 2 |
| Employment Type | Full Time |
| Category | Freshers Job |
Role Overview
The analyst will support the development, validation and improvement of property data and analytical products used in catastrophe risk modelling. The work combines structured, semi-structured and geospatial data with research, quality assurance and communication across teams in India, London and the United States.
- Analyse property, geospatial and risk-related datasets to identify trends, anomalies and improvement areas.
- Support property insurance datasets, spatial data layers, analytical products and data-driven solutions.
- Conduct exploratory research and analytical studies for catastrophe modelling, product development and data improvement initiatives.
- Work with analysts, modellers, data scientists, engineers and global stakeholders on cross-functional projects.
- Prepare documentation, analytical reports, dashboards, presentations and summaries for technical and non-technical audiences.
Eligibility & Qualifications
- Bachelor’s or Master’s degree in Engineering, including B. E./B. Tech or M. E./M. Tech, Data Science, Statistics, Mathematics, Computer Science, Applied Statistics, GIS, Remote Sensing, Actuarial Science, or another quantitative or analytical discipline.
- MBA or PGDM with a specialisation in Data Analytics is also considered.
- 0 to 2 years of academic, internship, or professional experience in data analytics, statistical analysis, research, or related analytical fields.
- The role is based in Noida, India.
Key Responsibilities
- Perform data validation, reconciliation, testing and quality assurance to improve accuracy, completeness and consistency.
- Investigate data issues, document findings, identify root causes and contribute to timely resolution.
- Apply statistical and analytical techniques to business insights, decision-making and risk-related analyses.
- Contribute to process optimisation, automation initiatives and agentic AI-driven solutions that improve operational efficiency.
- Build expertise in catastrophe risk, property exposure analytics, geospatial data and related analytical tools and methodologies.
Skills Required
- Strong proficiency in SQL for data extraction, validation, reconciliation, quality assurance and analytical problem-solving.
- Working knowledge of Python and data analysis libraries such as Pandas and NumPy.
- Strong analytical, logical reasoning and critical-thinking skills.
- Ability to identify trends, anomalies and data quality issues in large datasets.
- Effective communication and presentation skills, including the ability to translate findings into actionable insights.
- Strong prompting and agentic AI skills, with an interest in using AI-driven solutions to improve analytical workflows.
- Ability to learn new tools, datasets and analytical concepts quickly while working independently and collaboratively in a fast-paced environment.
Why Join Moody’s
The role provides exposure to property intelligence, data quality, statistical analysis and risk-focused products within the Insurance business. Candidates will collaborate with multidisciplinary colleagues across India, London and the United States while developing practical knowledge of catastrophe risk modelling, geospatial analytics and data-driven product development.
How to Apply for Moody’s Hiring 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
