What are the responsibilities and job description for the AI and Data Science Specialist – Global Research Modernization – Vice President position at JPMorgan Chase?
J.P. Morgan’s Global Research Modernization Team (RMT) is an extension of the firm’s Global Research teams around the world. RMT has grown steadily, and the team of analysts provide coverage for the key AI & DS needs of global research across equities, fixed income, macro strategy, derivatives, commodities, quant and indices. To support the continuing growth of Global Research we are now looking to add AI and ML capability to help leverage LLM and other AI capabilities to deliver Research.
We are seeking a visionary and strategic individual with a strong background in AI and data science to lead the development and implementation of innovative strategies that enhance research methodologies and outputs. The ideal candidate will possess excellent leadership skills, a deep understanding of financial data, and the ability to communicate complex concepts effectively.
Job Responsibilities
Lead the development and implementation of a broad range of AI and data science strategies to enhance research methodologies and outputs.
Implement workflow automation for teams across global research leveraging AI techniques including Large Language Models.
Collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and automation of workflow.
Ensure the integrity, accuracy, and accessibility of data used for analysis.
Stay abreast of industry trends and advancements in AI (data science) and evaluate new technologies for potential adoption.
Work closely with a team of data scientists and analysts and foster a culture of innovation and excellence.
Communicate complex analytical concepts and results in a clear and effective manner to senior management and non-technical stakeholders.
Manage relationships with external data vendors and technology partners.
Ensure compliance with regulatory requirements and ethical standards related to data use and model governance.
Required qualifications, capabilities, and skills:
6 or more years of experience working with AI and data science in the financial sector.
Bachelor's degree or higher in Comp Sci, Engineering, Data Science, or related fields.
Excellent communication, presentation, interpersonal, and organizational skills.
Detail-oriented, with a disciplined approach to process and controls.
Ability to manage relationships with external vendors and partners effectively.
