BENGALURU · FULLTIME
Sr Data Scientist

Moody's Analytics
Bengaluru · onsite · Posted 13d ago
Sourced from
Undisclosed4–9 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Skills and Competencies
Education
Responsibilities
About the Team
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
At Moodys, 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
- 4+ years of 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 scalable data, analytics or artificial intelligence capabilities that support business, analytical or strategic objectives
- Working knowledge of artificial intelligence, machine learning and advanced analytics, with the ability to apply these techniques in financial, analytical or market-facing contexts
- Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets
- Ability to translate complex digital asset, market and analytical concepts into quantitative insights and scalable data capabilities
- 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 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
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Blockchaindata scientistEthical AiAnalyticsCapital MarketsFinancial AnalyticsData EngineeringAI ToolsAdvanced AnalyticscomplianceData ProcessingfinanceData ModelingData ScienceArtificial Intelligence
Section · Company
About Moody's Analytics

Moody's Analytics
Analytics & KPO
761
employees
2007
19 years old
New York, New York
United States (USA)
₹17.5L PA avg
Avg at Moody's Analytics
About
Moody's Analytics provides financial intelligence and analytical tools supporting our client's growth, efficiency and risk management objectives.
Industries
Analytics & KPOFinancial Services
Employee ratings
10 reviews
4.0/ 5
Culture
3.6
Career growth
3.2
Work-life
3.5
Employees rate it well for
Work-Life Balance41Company Culture40
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