Let's begin! Sr Data Scientist (15438)
Full Job Posting
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.
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.
Requirements
- 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
About Moody's Corporation
Global integrated risk assessment firm and provider of financial analytics.
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