Securities Services - Global Service Initiatives - Data Scientist Associate

Job Description: Data Scientist / LLM Developer (Associate)

Securities Services – Global Initiatives Team, Mumbai, India

Organisation: Securities Services

Team: Global Initiatives Team (Global Initiatives)

Role Type: Data Scientist

Location: Mumbai, India

Role Summary

As a Data Scientist / LLM Developer (Associate) within the Securities Services Global Initiatives Team, you will play a pivotal role in driving measurable outcomes across global projects. You will leverage your expertise in exploratory analytics, machine learning, and Generative AI/Agentic AI solutions, exclusively utilising JPMorganChase-approved platforms, tools, and governance controls. This role is ideal for strategic thinkers passionate about data science and LLM development, committed to delivering innovative solutions within a robust security and compliance framework.

Job Responsibilities

• Apply exploratory data analysis (EDA) to uncover trends and patterns, effectively communicating insights through data storytelling.
• Identify and improve critical data sources, collaborating with upstream teams to enhance data quality and lineage.
• Work closely with product owners and initiative leads to define project scope, set priorities, and coordinate delivery across Operations, Technology, Product, and Controls.
• Design and build data mining queries for large structured and unstructured datasets, transforming raw data into actionable intelligence.
• Develop, tune, and evaluate machine learning models, documenting assumptions and results, and conducting error analysis.
• Create dashboards and analytics products using firm-approved BI/analytics tools, tailored for stakeholder needs.
• Architect GenAI and Agentic AI solutions in alignment with JPMorganChase’s shared responsibility and control expectations.
• Lead controlled R&D/prototyping activities and transition validated solutions to production with engineering partners.
• Ensure all solutions comply with firm security, data handling, and AI governance requirements.

Required qualifications, capabilities & skills

• Minimum 2 years’ experience in data-related projects, including at least 1 year in Data Science/AI (or equivalent).
• Bachelor’s degree in Data Science, Computer Science, Engineering, or related quantitative field (other fields considered with significant analytics/BI experience).
• Strong background in Statistics, including exploratory and regression analysis.
• Proficiency in LLM solution concepts (e.g., embeddings, vectorisation, vector stores, retrieval patterns such as RAG, evaluation metrics), implemented using JPMorganChase-approved tooling/platforms.
• Hands-on skills in Python and SQL for analytics and model development.
• Self-motivated, detail-oriented, and results-driven, capable of working with minimal supervision.
• Excellent communication and analytical abilities.

Preferred qualifications, capabilities & skills

• Experience with SQL on enterprise data platforms and Python libraries within the firm’s approved stack.
• Exposure to complex ETL development and data pipeline patterns.
• Knowledge of CI/CD pipelines and production delivery practices.

Certification / Training Requirements (Associate | Mumbai)

• Alteryx : Alteryx Designer Core Certification (or equivalent firm-recognised credential).
• Tableau: Tableau Desktop Specialist or Tableau Desktop Certified Associate.
• Fusion GenAI / Agentic AI training: Completion of firm-approved Fusion GenAI training (e.g., “Generative AI – Amazon Bedrock” and “Agentic AI – Introduction to Agentic Systems”), aligned to the Fusion AI lifecycle platform. Must be obtained within the first 6 months if not already held.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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