Asset Management - Data Scientist Lead - Executive Director

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 Asset Management Data Scientist - Executive Director 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:

• Collaborate with internal stakeholders to understand business needs, build out requirements, and design technical architectures
• 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:

• 7-10 years of experience delivering AI/ML product and managing stakeholder relationships 
• 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