Asset Management - Nlp/llm Data Scientist - Associate

JPMorgan Chase JPMorgan Chase · Banking · Central and Western, Hong Kong Island, Hong Kong · Asset & Wealth Management

Associate Data Scientist focused on NLP/LLM applications within Asset Management, responsible for developing and deploying agentic frameworks, applying ML techniques to improve decision-making, and collaborating with stakeholders to reengineer processes and enhance client experiences.

What you'd actually do

  1. Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
  2. Apply large language models (LLMs), machine learning (ML), and statistical methods to improve decision-making and streamline workflows.
  3. Design and build agentic frameworks for LLM-based systems, including multi-step orchestration, tool use, and workflow policies that align with business controls and SLAs.
  4. Collect, curate, and document datasets for model training and evaluation with strong data governance.
  5. Monitor and improve model performance through feedback and active learning.

Skills

Required

  • Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
  • Minimum of 3 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, workflow automation.
  • Demonstrated experience designing and building RAG, MCP tools and LLM agent systems (e.g., tool-enabled reasoning, multi-step workflows, retrieval and planning).
  • Proven experience deploying and operating AI/LLM models in production.
  • Advanced Python programming skills with production‑quality coding; familiarity with the latest developments in LLM.
  • Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
  • Ability to communicate complex concepts and results to both technical and business audiences.

Nice to have

  • Prior experience in an Asset Management line of business, especially Operations
  • Familiarity with LLM/AI model guardrails and observability practices (e.g., evaluation frameworks, bias/hallucination checks).
  • CFA designation or current pursuit of the CFA is preferred.

What the JD emphasized

  • Minimum of 3 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems
  • Demonstrated experience designing and building RAG, MCP tools and LLM agent systems
  • Proven experience deploying and operating AI/LLM models in production

Other signals

  • Deploy and scale AI/LLM models in production
  • Design and build agentic frameworks for LLM-based systems
  • Apply large language models (LLMs), machine learning (ML), and statistical methods