Asset Management- Data Science (VP)
at J.P. Morgan
Posted 6 days ago
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- Compensation
- Not specified USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Asset Management- Data Science - Vice President will leverage NLP and LLM techniques to build business-focused AI solutions for investment processes. You will extract insights from financial reports, analyst notes, and client communications to support data-driven decision making and automation. Responsibilities include developing LLM-based content extraction, search and question-answering, reasoning and recommendation solutions, building testing environments, and collaborating with engineering to deliver scalable outputs. You will stay current with cutting-edge NLP research to drive innovative approaches.
Location: NY, United States
JPMorgan Asset Management Data Science team works closely with investors and portfolio managers to analyze large collection of textual data including financial reports, analyst notes, call transcripts, news to help investors make informed decisions by gauging market sentiment, identifying trending and emerging themes, detecting risks and exposures at scale. We are looking for passionate NLP scientists to apply latest methodologies to generate actionable insights directly consumed by our business partners.
Job summary:
As an Asset Management Investment Platform Data Scientist - Vice President on the Asset Management Investment Platform Data Science team you will leverage innovative and cutting-edge NLP and LLM expertise to develop business-centric products. In this role, you 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, you will empower smart data-driven decision making and enable process automation.
Job 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.
Required qualifications, skills and capabilities:
- Advanced degree in Data Science, Computer Science, or Machine Learning.
- Proven experience in NLP and working with LLMs.
- Proficiency in programming languages such as Python and familiarity with ML 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.
