Data Scientist - Associate
JPMorgan Chase · Posted Oct 13
Global banking, investment, credit card, mortgage, and asset management services
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About the role
JPMorgan Chase's Asset Management Data Science Team delivers Applied AI & Machine Learning solutions for the firm's investment business. The team builds LLM-powered investment tools, retrieval-augmented generation capabilities, and governed data and knowledge pipelines along with evaluation and observability for AI systems. This role designs and scales AI applications and automated workflows, and partners with portfolio managers and research teams to translate investment processes into practical solutions.
What you will do
- Design and implement scalable architecture for LLM-powered investment tools, including reusable patterns for integration, governance, observability, and access control
- Build and scale AI applications and automated workflows using models, retrieval, and tools with orchestration for state management, retries, checkpointing, deterministic controls, and appropriate human oversight
- Develop context-management and retrieval-augmented generation (RAG) capabilities, including ingestion, chunking, metadata, embeddings, hybrid search, reranking, and grounded outputs
- Create reliable data and knowledge pipelines that transform structured and unstructured enterprise content into governed, high-quality inputs for AI applications
- Establish engineering standards for reusable tools and model integrations, including interfaces, permissions, testing, failure handling, and documentation
- Implement evaluation and end-to-end observability for AI systems, including structured logging and tracing across model calls, retrieval steps, and tool execution
- Optimize AI systems for quality, task completion, latency, token usage, cost, reliability, and business impact
- Partner with portfolio managers and research teams to understand investment processes and translate them into practical solutions within the firm's ecosystem
Skills used in this role
What the employer is looking for
- Earn a Master's degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or another quantitative field
- Apply a strong foundation in statistics, probability, experimental design, and machine learning to select appropriate methods and interpret quantitative results
- Build, deploy, and scale LLM-powered applications, including retrieval, tool use, workflow orchestration, state management, structured outputs, and evaluation, using frameworks such as LangGraph, Semantic Kernel, LlamaIndex, or equivalent
- Design prompts and context effectively, including embeddings, vector and keyword search, reranking, model selection, and quality/latency/cost optimization
- Write strong Python and SQL, using common data and machine learning libraries and frameworks
- Demonstrate sound numerical intuition and understanding of financial markets, investment research, portfolio construction, risk, performance, and investment data
- Translate ambiguous business requirements into scalable technical solutions and communicate technical trade-offs to a range of stakeholders
Preferred qualifications
- Deliver generative AI or machine learning solutions in a regulated enterprise environment
- Bring front-office or buy-side experience, particularly in investment research, portfolio analytics, performance attribution, or decision analytics
- Incorporate unstructured or alternative data into research and production workflows
- Apply familiarity with Model Context Protocol (MCP) or comparable standards for securely connecting AI applications to enterprise data, tools, and services
- Use LLM observability and evaluation standards or platforms such as OpenTelemetry, OpenInference, Arize Phoenix, LangSmith, or equivalent (including traces across model, retrieval, and tool-execution steps)
- Leverage familiarity with knowledge graphs, multimodal models, fine-tuning, synthetic data, or advanced model-evaluation techniques
- Pursue CFA qualification or progress toward the CFA designation
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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