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Tier-1 brand, metro location, and a popular Data Scientist title increase applicant competition.
Role uses firm-approved platforms, finance controls, and LLM governance, limiting cross-industry transferability.
Explicit years, mandatory AI experience, firm certifications and governance requirements make screening stringent.
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Lead exploratory data analysis and communicate insights via data storytelling for global Securities Services projects.
Develop, tune, and evaluate machine learning and GenAI/Agentic AI models using JPMorganChase-approved platforms, ensuring compliance with security and AI governance.
Collaborate with cross-functional teams and product owners to define scope, prioritize, and transition validated AI solutions from prototyping to production.
Minimum 2 years' experience in data-related projects with at least 1 year in Data Science/AI or equivalent.
Bachelor's degree in Data Science, Computer Science, Engineering, or related quantitative field (or equivalent analytics/BI experience).
Proficiency in Python, SQL, and LLM solution concepts (embeddings, vector stores, retrieval patterns) using firm-approved tools.
Must complete or hold certifications: Alteryx Designer Core, Tableau Desktop Specialist/Certified Associate, and firm-approved Fusion GenAI/Agentic AI training within first 6 months if not already done.
Experienced in handling large structured and unstructured datasets and developing scalable data mining queries within an enterprise environment.
Strong understanding of AI governance, security compliance, and production delivery practices including CI/CD pipelines.
Able to operate independently on end-to-end data science projects involving R&D, prototyping, and collaboration with engineering/product teams for deployment.