JC
Hiring companyJPMorgan Chase
Verified today
Associate Data Scientist
Mumbai, Maharashtra, India Full-time
About the role
The Solutions Data Intelligence Group (DIG) at JPMorgan Chase seeks an Associate Data Scientist to shape the future of data and AI in Wealth Management. You will independently build, evaluate, and refine models and analytical solutions—including AI agents and LLM-based applications—and partner with technology, operations, and business teams to deliver advanced analytics. Based in Mumbai, Maharashtra, India, this full-time role focuses on creating technical designs for Data Intelligence use cases and driving innovation for clients and advisors.
What you’ll do
- Create the technical design for Data Intelligence use cases, including front-to-back architecture, data delivery pipelines, and build vs. buy recommendations
- Partner with Technology, Operations, vendors, and other functions to implement use cases, with supervision from the Data Intelligence Forum (DIF)
- Handle tactical projects involving automation and AI agents
- Partner with the DIG Data Strategists to build, score, and present use cases to the Wealth Management Solutions business
- Develop, evaluate, and refine models and analytical solutions, including defining AI evaluations to measure model quality and reliability
- Ensure ongoing successful delivery of team priorities defined by DIG team leads
What you’ll bring
- 4+ years of experience in applied modeling and analytical problem solving with a strong quantitative focus
- Machine learning and programming skills (Python) with proven ability to use data and analytics to drive innovation and business results
- Hands-on experience building and deploying AI agents and/or LLM-based applications
- Ability to work independently on AI projects, managing ambiguity and driving initiatives from concept to completion
- Bachelor’s degree; advanced degree in quantitative discipline (math, statistics, economics, engineering, etc.)
Nice to have
- Exposure to LLMs and modern AI frameworks
- Experience designing and running AI evaluations (e.g., benchmarking, quality/accuracy metrics, guardrail and safety testing)
- Familiarity with AI product development lifecycle: defining requirements, prioritizing features, and shaping roadmaps in partnership with stakeholders
- Demonstrated experience working with engineering, developers, and other technology teams
- Critical thinking skills and the ability to work through problems, develop creative solutions, and act on those ideas through completion
Skills
PythonMachine learningAI agentsLLM-based applicationsFront-to-back architectureAI evaluationsData delivery pipelinesApplied modeling
Education
Bachelor’s degree; advanced degree in quantitative discipline (math, statistics, economics, engineering, etc.)