AVP-Business Analysis

Moody's Analytics; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Moody's Analytics in Bengaluru seeks seasoned professionals to advance digital economy capabilities, delivering credit-relevant insights across evolving financial markets. You will translate strategic requirements into scalable operating capabilities, collaborating with analytical, technology, risk and commercial teams to drive adoption and growth.

The role emphasizes evaluating opportunities in digital assets, tokenization, and market infrastructure, and applying AI and advanced analytics to

Qualifications

• 7+ years of experience in business analysis, product analysis, credit analysis, digital assets, financial technology, capital markets or structured finance.
• Strong understanding of digital asset market structure, tokenization, stablecoins, distributed ledger technologies and digital market infrastructure.
• Experience defining workflows, operating models, requirements and delivery roadmaps in a cross-functional environment.
• Extensive experience with distributed ledger technologies, including permissioned and permissionless networks, decentralized finance protocols, node infrastructure and blockchain oracles.
• Extensive experience with data requirements, data mapping, data modeling and familiarity with data standards (ISO, Token standards) along with working knowledge of structured and unstructured on-chain and off-chain data sources.
• Ability to translate complex analytical, market and business concepts into scalable operating capabilities and strategic initiatives.
• Strong analytical thinking, stakeholder coordination and written communication skills.
• Demonstrated proficiency in artificial intelligence concepts, with hands on experience using AI tools to streamline workflows and enhance operational efficiency, supported by awareness of AI risk management and responsible and ethical AI use

Responsibilities

• Help shape and scale digital economy capabilities that deliver credit-relevant insights across evolving financial markets.
• Support the evolution of digital economy capabilities by identifying opportunities to extend analytical insights into emerging market structures and distribution channels.
• Translate strategic priorities and business requirements into scalable operating capabilities that support long‑term growth and adoption.
• Partner with analytical, technology, risk, commercial and operational stakeholders to align priorities, sequencing and delivery objectives.
• Establish structured processes for evaluating, prioritizing and advancing strategic opportunities across the digital economy landscape.
• Analyze developments across digital assets, tokenization and market infrastructure to identify opportunities for new analytical capabilities.
• Evaluate opportunities to use emerging technologies, including artificial intelligence and advanced analytics, to enhance business processes and analytical capabilities.
• Contribute to research, publications, educational materials and internal perspectives on digital assets, technology innovation and credit considerations.
• Support senior leadership by translating complex strategic, market and operational considerations into actionable recommendations

Skills

7+ years experience

Digital asset market structure

Workflows and delivery roadmaps

Distributed ledger technologies

Data requirements and mapping

Strategic translation of concepts

Analytical thinking and communication

AI concepts and ethical use

Education

Bachelor's degree or equivalent in finance/economics/tech

Job description

Job Summary

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.

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

• 7+ years of experience in business analysis, product analysis, credit analysis, digital assets, financial technology, capital markets or structured finance
• Strong understanding of digital asset market structure, tokenization, stablecoins, distributed ledger technologies and digital market infrastructure
• Experience defining workflows, operating models, requirements and delivery roadmaps in a cross-functional environment
• Extensive experience working with distributed ledger technologies, including permissioned and permissionless networks, decentralized finance protocols, node infrastructure and blockchain oracles
• Extensive experience with data requirements, data mapping, data modeling and familiarity with data standards (ISO, Token standards) along with working knowledge of structured and unstructured on-chain and off-chain data sources
• Ability to translate complex analytical, market and business concepts into scalable operating capabilities and strategic initiatives
• Strong analytical thinking, stakeholder coordination and written communication skills
• Demonstrated proficiency in artificial intelligence concepts, with hands on experience using AI tools to streamline workflows and enhance operational efficiency, supported by awareness of AI risk management and responsible and ethical AI use

Education

• Bachelor s degree or equivalent relevant experience in finance, economics, business, technology, engineering, data analytics or a related field

Responsibilities

Help shape and scale digital economy capabilities that deliver credit-relevant insights across evolving financial markets.

• Support the evolution of digital economy capabilities by identifying opportunities to extend analytical insights into emerging market structures and distribution channels
• Translate strategic priorities and business requirements into scalable operating capabilities that support long‑term growth and adoption
• Partner with analytical, technology, risk, commercial and operational stakeholders to align priorities, sequencing and delivery objectives
• Establish structured processes for evaluating, prioritizing and advancing strategic opportunities across the digital economy landscape
• Analyze developments across digital assets, tokenization and market infrastructure to identify opportunities for new analytical capabilities
• Evaluate opportunities to use emerging technologies, including artificial intelligence and advanced analytics, to enhance business processes and analytical capabilities
• Contribute to research, publications, educational materials and internal perspectives on digital assets, technology innovation and credit considerations
• Support senior leadership by translating complex strategic, market and operational considerations into actionable recommendations

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 work at the intersection of strategy, innovation, analytics and business transformation, with direct engagement on initiatives that strengthen readiness for an increasingly digital financial ecosystem and support responsible use of emerging technologies such as artificial intelligence and advanced analytics.

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.