At a Glance
- Tasks: Design AI workflows and develop ML solutions to transform finance processes.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make an impact in finance using cutting-edge AI and machine learning technologies.
- Qualifications: Experience in NLP, ML, and programming; passion for AI and finance is key.
The predicted salary is between 70000 - 90000 £ per year.
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 agentic AI workflows that automate and streamline complex business processes.
- Design and apply 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 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, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement.
Qualifications, Capabilities, and Skills
- Proven experience applying NLP, LLM, and ML techniques to solve high-impact business problems.
- Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science.
- 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.
- Prior experience in financial services or asset management is desirable, along with a strong interest in applying AI to the financial domain.
We think you need these skills to ace Asset Management, Data Scientist, Vice President, London/Glasgow (Glasgow)
Machine Learning
Natural Language Processing (NLP)
Large Language Models (LLM)
Data Science
Semantic Search
Retrieval-Augmented Generation (RAG)
Named Entity Recognition (NER)
