Data Scientist - Associate
JPMorgan Chase & Co. (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 20–35 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 architecture including governance, observability, and access control.
- Build, scale, and optimize AI applications and workflows with state management, retries, human oversight, and evaluation for quality and business impact.
- Partner with portfolio managers and research teams to translate investment processes into scalable AI solutions within the firm's ecosystem.
Minimum Requirements
- Master's degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or another quantitative field.
- Proven experience in building, deploying, and scaling LLM-powered applications using frameworks like LangGraph, Semantic Kernel, or equivalent.
- Strong programming skills in Python and SQL with familiarity in data and machine learning libraries.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering generative AI or machine learning solutions in regulated enterprise or financial environments, preferably with front-office or buy-side exposure.
- Strong understanding of financial markets, investment research, portfolio construction, risk, and performance data with solid numerical intuition.
- Capable of translating ambiguous business requirements into practical, scalable technical solutions and communicating trade-offs across stakeholder groups.