Data Scientist - Associate
JPMorgan Chase & Co. (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 25–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable LLM-powered investment tools including integration, governance, observability, and access control patterns.
- Build and scale AI applications and automated workflows with orchestration for state management, retries, checkpointing, and human oversight.
- Partner with portfolio managers and research teams to translate investment processes into practical AI solutions within the firm's ecosystem.
Minimum Requirements
- Master’s degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a related quantitative field.
- Strong foundation in statistics, probability, experimental design, and machine learning, with skills to select methods and interpret quantitative results.
- Proficiency in building, deploying, and scaling LLM-powered applications using frameworks like LangGraph, Semantic Kernel, LlamaIndex, or equivalents.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering generative AI or machine learning solutions within regulated enterprise environments, preferably front-office or buy-side investment research or analytics.
- Skilled in integrating unstructured or alternative data into research and production workflows with knowledge of LLM observability and evaluation standards/platforms.
- Familiar with financial markets, investment research, portfolio construction, risk, and performance, and progressing toward or holding CFA qualification.