JPMorgan Asset Management Data Science team needs to analyze large collections of textual data to help investors make informed decisions by gauging market sentiment, identifying trending and emerging themes, detecting risks and exposures at scale. The role will implement AI solutions to enhance investment processes, elevate client experiences, and streamline operations by extracting vital insights from financial reports, analyst notes, and client communications.
Requirements
- Proven experience in NLP and working with LLMs.
- Proficiency in programming languages such as Python and familiarity with ML libraries and frameworks.
Responsibilities
- Develop technical solutions utilizing LLMs for a variety of problems including content extraction, search and question answering, reasoning and recommendation.
- Build comprehensive testing setups to evaluate model performances and ensure the efficacy and reliability of the solutions.
- Collaborate with engineering functions to deliver high quality, scalable output.
- Study scientific articles and research papers to identify emerging and state-of-the-art techniques and discover new approaches.
Other
- Advanced degree in Data Science, Computer Science, or Machine Learning.
- 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.
