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Strong employer brand, metro location, and a visible senior ML/Data Scientist title increase applicant competition.
Role requires niche digital-asset and capital-markets analytics experience, so cross-industry transferability is limited.
Specialized digital-asset and ML/AI domain expertise required without explicit years, implying moderate strictness in shortlisting.
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Develop and deploy scalable data, analytics, and AI capabilities focused on digital assets, tokenization, and market infrastructure within Moody's Ratings.
Integrate structured and unstructured digital asset data sources to enhance data quality, accessibility, and analytics for strategic decision-making.
Collaborate across technology, analytics, and business teams to convert complex digital asset data into actionable insights and embed AI-driven solutions into operational workflows.
Bachelor's degree or equivalent in data science, computer science, engineering, finance, economics, statistics, mathematics, or related field.
Experience in data science, machine learning, financial analytics, digital assets, capital markets, or risk analytics.
Strong programming, data engineering, data modeling skills, including handling large and complex datasets.
Proficiency with AI concepts and hands-on experience in AI tools, APIs, and data integration frameworks.
Experienced in applying AI, machine learning, and advanced analytics specifically to digital assets and financial or market-facing contexts.
Capable of translating complex digital asset, market, and technical concepts into quantitative insights and scalable data capabilities.
Has worked in cross-functional, collaborative environments involving technology, analytics, and business stakeholders to deliver complex data and AI initiatives.