Data Scientist and LLM Developer Associate

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. 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. Experience Level Mid Level