Sr Data Scientist

Moody's Corporation; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Moody’s Corporation is advancing AI to turn risk insights into actionable intelligence, driving value for clients and markets. The team focuses on data science, data engineering and AI capabilities to analyze digital assets, tokenization and market infrastructure.

You will collaborate with technology, analytics and business stakeholders to deliver scalable data solutions and practical insights. We seek candidates with strong experience in data science, ML and risk analytics, who can translate

Qualifications

• Bachelor’s degree or equivalent in data science, computer science, engineering, finance, economics, statistics, mathematics or related field
• Experience in data science, data engineering, ML or risk analytics is preferred

Responsibilities

• Build data, analytics and AI capabilities that strengthen digital asset insight and market readiness
• Identify, structure and integrate digital asset, market data sources to improve accessibility, quality and usability
• Partner with technology, analytical, external data and industry stakeholders to strengthen data processes that support business priorities and long‑term capability development
• Develop analytical models, data pipelines and tools that transform complex digital asset data into actionable insights
• Develop analytical approaches to interpret complex digital asset, tokenization and market infrastructure data
• Translate technical insights into practical recommendations that inform roadmap discussions and investment decisions

Skills

Data science

Machine learning

Data engineering

Financial analytics

APIs and data services

Cross-functional collaboration

AI tooling

Education

Bachelor’s degree

Job description

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.

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

• Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics
• Strong understanding of structured and unstructured data, including on-chain and off-chain data sources
• Experience developing and deploying scalable data, analytics or artificial intelligence and/or machine learning capabilities that support business, analytical or strategic objectives
• Experience working with APIs, data services and integration frameworks to ingest, enrich and operationalize data within analytical workflows and technology platforms.
• Working knowledge of artificial intelligence, machine learning and advanced analytics, with the ability to apply these techniques in financial, analytical or market-facing contexts
• Ability to translate complex digital asset, market and analytical concepts into quantitative insights and scalable data capabilities
• Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets
• Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives
• Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows, enhance operational efficiency and support responsible and ethical AI use

Education

• Bachelor’s degree or equivalent relevant experience in data science, computer science, engineering, finance, economics, statistics, mathematics or a related field

Responsibilities

Build data, analytics and AI capabilities that strengthen digital asset insight and market readiness

• Support the development of scalable data capabilities that enhance Moody’s Ratings’ ability to analyze digital assets, tokenized instruments and emerging market infrastructure
• Identify, structure and integrate digital asset, market infrastructure and ecosystem data sources to improve accessibility, quality and usability
• Partner with technology, analytical, external data and industry stakeholders to strengthen data processes that support business priorities and long‑term capability development
• Develop and refine analytical models, data pipelines and tools that transform complex digital asset data into actionable insights.
• Develop analytical approaches to interpret complex digital asset, tokenization and market infrastructure data
• Convert structured and unstructured data into insights that support strategic decision‑making and analytical preparedness
• Apply quantitative techniques to identify patterns, trends and risk‑relevant signals across digital financial markets
• Explore artificial intelligence, machine learning and advanced analytics opportunities to improve data processing, insight generation, scalability and business efficiency
• Collaborate with technology, architecture and business teams to integrate data, analytics and AI capabilities into products, platforms and operational workflows.
• Translate technical insights into practical recommendations that inform roadmap discussions, investment decisions and strategic planning

About The Team

Our Digital Economy team within Moody’s Ratings supports the firm’s strategy for innovative technologies including digital assets, tokenization, decentralized finance, stablecoins, on‑chain infrastructure and data‑driven innovation. The team works across analytical, technology, risk oversight, commercial and operational functions to develop scalable capabilities that help Moody’s Ratings understand, assess, ingest and deliver credit‑relevant insights in digital financial markets. By joining the team, you will contribute to data science work at the intersection of blockchain networks, stablecoins, artificial intelligence and capital markets, while supporting responsible adoption of artificial intelligence and advanced analytics to strengthen workflows, decision‑making and business readiness.

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.