NLP & LLM Data Scientist for Financial ML Production

JPMAM Data Science is dedicated to enhancing and streamlining every stage of the investment process, from financial analysis and portfolio management to client services and advisory. Weanalyseextensive collections of dataincluding financial documents, analyst reports, news articles, meeting notes, and client communicationsto empower data-driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generatereal-time andactionable insights.

The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production.A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates shouldpossessa solid understanding of modern NLP and/or financial knowledge, hands-on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management.

Job Responsibilities

• Design and implement advanced techniques such as semantic search, retrieval-augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalizationfor content extraction, search, question answering, reasoning, and recommendation.
• Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation.
• Work closely with partner teams-including Business, Technology, Product Management, Strategy, and Business Management-to deploy and scale developed models in production environments.
• Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
• Communicate results effectively to business stakeholders through written reports, visualizations, and presentations.

• Stay current with the latest research in LLM, ML, and data science, and proactivelyidentifyandleverageemerging techniques to drive ongoing enhancement.

Required Qualifications, Capabilities, and Skills

• Advanced degree in Data Science, Computer Science, or Machine Learning
• Proven experience applying NLP, LLM, and ML techniques to solve high-impact business problems.
• Proficiencyin programming languages such as Python and familiarity with machine learning libraries and frameworks.
• Excellent communication skills and ability to work collaboratively in a fast-paced, dynamic environment.

• Strong analytical skills with an understanding of financial markets and asset management.

  Preferred Qualifications, Capabilities and Skills.