at J.P. Morgan
Bulge Bracket Investment BanksPosted 11 days ago
1 click
Data Scientist Associate focusing on NLP and large language models within JPMAM Data Science, building NLP/LLM solutions to extract and deliver real-time insights from financial data. Responsibilities include designing semantic search, retrieval-augmented generation (RAG), NER, prompt engineering, and personalization for content extraction and question answering. You will collaborate with business, technology, product, strategy, and management teams to deploy models in production, build testing frameworks, and communicate results through reports and visualizations. A strong foundation in NLP/ML and a passion for finance are required, with an advanced degree in a related field.
- Compensation
- Not specified
- City
- Glasgow
- Country
- United Kingdom
Currency: Not specified
Full Job Description
Location: GLASGOW, LANARKSHIRE, United Kingdom
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. We analyse extensive collections of data including financial documents, analyst reports, news articles, meeting notes, and client communications to empower data-driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generate real-time and actionable 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 should possess a 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 personalization for 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 teamsincluding Business, Technology, Product Management, Strategy, and Business Managementto 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 proactively identify and leverage emerging 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.
- Proficiency in 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.
