JP Morgan Private Bank is a global leader in wealth management, providing comprehensive financial solutions to high-net-worth individuals and families. Our clients benefit from our extensive resources, innovative technology, and personalized service to help them achieve their financial goals.

As an Associate on the Digital Team, you will focus on our Long Language Model (LLM) and Artificial Intelligence (AI) strategy, specifically for a product called "CASEY." The ideal candidate will play a critical role in developing and implementing AI-driven solutions to enhance client experiences and drive business growth.

Job Responsibilities:

Product Development: Collaborate with cross-functional teams to develop and enhance the CASEY product, leveraging LLM and AI technologies to deliver innovative solutions that meet client needs. AI Strategy: Contribute to the development and execution of the LLM/AI strategy for the CASEY product, ensuring alignment with business objectives and client expectations. Data Analysis: Utilize data analytics and machine learning techniques to analyze client interactions and behaviors, identifying opportunities for AI-driven enhancements and personalization. Research and Innovation: Stay informed about the latest advancements in LLM and AI technologies, conducting research to identify new opportunities for innovation and improvement within the CASEY product. Client Experience: Advocate for the client experience, ensuring that AI-driven solutions are intuitive, user-friendly, and deliver tangible value to clients. Project Management: Assist in managing project timelines, deliverables, and stakeholder communications, ensuring that AI initiatives are delivered on time and within scope. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to ensure seamless integration of AI technologies into the CASEY product. Performance Monitoring: Monitor the performance of AI-driven features and enhancements, using data-driven insights to make continuous improvements and optimizations.

Required Qualifications, Capabilities and Skills:

Experience: 3 years of experience in product. Education: Bachelor’s degree in Finance, Business, Computer Science, Data Science, Engineering, or a related field.  Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and tools Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and generate actionable insights. Communication: Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and present complex concepts to non-technical stakeholders. Client-Centric Mindset: Passion for delivering exceptional client experiences and a deep understanding of client needs and behaviors. Innovation: A proactive and innovative mindset, with a strong interest in exploring new technologies and driving continuous improvement.

Preferred Qualifications, Capabilities and Skills:

 AI, machine learning, data science, or a related field and experience in financial services or wealth management is a plus. Advanced degree (Master’s or PhD) is a plus.