Data Scientist Associate

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. 

 

As a Data Scientist Associate at JPMorganChase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 
 

Build and productionize RAG and Agentic RAG applications for financial-services use cases (intelligent search, Q&A, summarization, and workflow assistants). This role blends core software engineering with applied data science skills—data cleaning, analytics, experimentation, and evaluation—to improve retrieval quality and model reliability.

 

Job Responsibilities

• Build end-to-end RAG applications: document ingestion → parsing → chunking → embeddings → indexing → retrieval → grounded generation (with citations/attribution where applicable).
• Implement Agentic RAG patterns (query planning, multi-hop retrieval, tool-based lookups, reranking, guardrails, and fallback behaviors) for complex user questions.
• Develop LLM-based NLP capabilities for classification, extraction, summarization, semantic search, and conversational flows tailored to financial domain needs.
• Perform data preparation and quality work: cleaning noisy text, de-duplication, normalization, metadata enrichment, labeling, and maintaining curated datasets for evaluation/training.
• Run applied data science experiments to improve relevance and answer quality: A/B tests, prompt/retrieval experiments, embedding model comparisons, chunking strategy tests, and reranker evaluations.
• Define and track quality metrics across retrieval and generation (e.g., recall@k, MRR, precision, groundedness, citation coverage, user satisfaction proxies) and create lightweight dashboards/regular reporting.
• Build basic analytics pipelines around usage and quality signals (feedback, clicks, escalation rates, latency/cost) to guide iteration.
• Implement testing and evaluation harnesses: golden question sets, automated regression tests, adversarial prompts, and safety checks to reduce hallucinations.
• Collaborate with product/design/stakeholders to translate requirements into shipped features and iterate quickly based on feedback.
• Ensure solutions follow security, privacy, and responsible AI requirements (safe handling of sensitive data, access control-aware retrieval, logging/audit needs).

Required qualifications, capabilities and skills

• 3+ years experience in software engineering, applied ML, data science engineering, or a related role building production systems.
• Strong programming in Python , with APIs and services.
• Working knowledge of applied data science fundamentals: data cleaning, exploratory data analysis (EDA), basic statistics, evaluation design, and communicating results.
• Experience with RAG development using frameworks such as LangChain/LlamaIndex (or equivalent), 
• Comfortable with SQL and data tooling (e.g., pandas / Spark basics) to prepare datasets and run analyses.
• Experience with cloud (AWS or Azure) and standard SDLC practices (version control, CI/CD basics, testing).

Preferred qualifications, capabilities and skills

• Exposure to vector databases/search (e.g., OpenSearch/Elastic, Pinecone, Weaviate, FAISS) and reranking approaches.
• Experience with evaluation frameworks (offline relevance labeling, LLM-as-judge with guardrails, regression suites) and basic experiment design.
• Familiarity with agent frameworks (LangGraph/Semantic Kernel/etc.) and Agentic RAG workflows.
• Experience with  Python.
• Familiarity with embeddings and retrieval concepts.

About UsAbout the TeamJ.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​