Asset Management, NLP/LLM Data Scientist - Associate
Description For Asset Management, NLP/LLM Data Scientist - Associate
This role at JPMorgan Chase's Asset Management division offers an exciting opportunity to make a real impact in the asset management industry using cutting-edge technologies. As a NLP/LLM Data Scientist, you'll be at the forefront of enhancing the investment process through advanced machine learning techniques. You'll work with state-of-the-art language models and ML technologies to generate actionable insights for business partners.
The position involves collaborating with stakeholders across the organization to develop and deploy AI solutions that improve investment decisions, enhance client experiences, and optimize operations. You'll be responsible for the full ML lifecycle - from data curation and model development to production deployment and performance monitoring.
J.P. Morgan Asset & Wealth Management is an industry leader delivering top-tier investment management and private banking solutions. The role offers exposure to both technical innovation and practical business applications in financial services. You'll join a global team of investment professionals and technologists working to transform asset management through AI.
The ideal candidate combines strong technical skills in NLP/ML with business acumen and communication abilities. You'll need expertise in Python, deep learning frameworks, and modern language models, along with the ability to translate complex technical concepts for business audiences. This role provides opportunities for continuous learning and experimentation with the latest AI advances while delivering real business impact.
Responsibilities For Asset Management, NLP/LLM Data Scientist - Associate
- Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions
- Apply large language models and ML techniques to enhance decision-making
- Collect and curate datasets for model training and evaluation
- Perform experiments using different model architectures
- Monitor and improve model performance
- Collaborate with technology teams to deploy models
- Deliver presentations of modeling results
- Stay up-to-date with latest research in LLM and ML
Requirements For Asset Management, NLP/LLM Data Scientist - Associate
- Advanced degree (MS or PhD) in quantitative/technical discipline or significant practical experience
- Minimum 3 years experience in applying NLP, LLM and ML techniques
- Advanced Python programming skills
- Understanding of ML algorithms
- Experience with deep learning toolkits (PyTorch, Transformers, HuggingFace)
- Strong knowledge of language models and prompt engineering
- Familiarity with deep learning frameworks
- Strong communication skills
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