Data Scientist - Associate

JPMorgan Chase & Co.; Mumbai; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

JPMorgan Chase & Co. seeks an Applied AI & Machine Learning Professional within our Asset Management Data Science Team in Mumbai. You will help set objectives and ensure their achievement through advanced AI methods.

You will design scalable LLM-powered investment tools, build AI applications, and develop RAG capabilities, while managing data pipelines and collaborating with portfolio managers to translate processes into practical solutions.

Qualifications

• Master's or PhD in computer science, statistics, mathematics, engineering, econometrics, or another quantitative field.
• Strong foundation in statistics, probability, experimental design, and ML for method selection and result interpretation.
• Experience building, deploying and scaling LLM-powered applications with retrieval, tool use, workflow orchestration, and evaluation.
• Ability to design prompts and context with embeddings, vector search, reranking, and cost optimization.
• Proficiency in Python and SQL with standard ML libraries.
• Understanding of financial markets, investment research, and portfolio concepts.

Responsibilities

• Design scalable architecture for LLM-powered investment tools with reusable patterns for integration, governance, and observability.
• Build and scale AI applications and workflows using models, retrieval, tools, and orchestration for state management and retries.
• Develop RAG capabilities including ingestion, chunking, metadata, embeddings, and grounding outputs.
• Create data and knowledge pipelines turning enterprise content into high-quality AI inputs.
• Establish engineering standards for reusable tools, interfaces, permissions, testing, and documentation.
• Implement end-to-end observability with structured logging and tracing across model calls and steps.
• Optimize AI systems for quality, latency, cost, and business impact.
• Collaborate with portfolio managers and researchers to translate investment processes into practical solutions.

Skills

Statistics

Probability

Experimental design

Machine learning

Education

Masters/PhD in quantitative field

Tools

LangGraph

Semantic Kernel

LlamaIndex

Job description

• Locations Nirlon Knowledge Park, Western Express Highway, Goregaon (East), Mumbai, IN-MH, 400063, IN
• Apply Before 10/27/2026, 04:00 AM
• Job Schedule Full time
• Job Shift Mid-Day

Job Description

You are a strategic thinker passionate about driving solutions in “Applied AI & Machine Learning”. You have found the right team.

As “Applied AI & Machine Learning Professional” within our “Asset Management Data Science Team ” , you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.

Job Responsibilities

• 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

Required qualifications, capabilities and skills

• 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, capabilities and skills

• 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

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

J.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.