JPMorgan Risk Management - Model Program Associate 

United States, New York, New York 

945885547

As a Product Solutions – Data and AI - VP in the Chief Data and Analytics Office Product and Platform team, you will enable internal teams to maximize their data and analytics outcomes using Fusion Platform Solutions and Services. You will build expertise in Data and AI domains, create high-quality documentation and training materials, and guide clients in leveraging advanced tools. You’ll collaborate across product, engineering, and architecture teams to deliver integrated solutions. Your work will help shape product strategy and drive innovation across the firm.

Job Responsibilities:

• Support internal clients in leveraging Fusion Platform capabilities for data and AI solutions
• Engage with clients to understand requirements and implement integrated solutions
• Represent product roadmaps, articulating benefits and guiding clients on best practices
• Develop AI/ML experiments, applications, tutorials, and reference implementations
• Provide feedback to product and engineering teams to influence development and strategy
• Balance multiple tasks and client engagements while staying current with industry trends
• Manage office hours to educate, demo, and collect feedback from clients
• Coordinate across product, engineering, and architecture teams to deliver solutions
• Synthesize complex information clearly and precisely for diverse audiences
• Communicate effectively with technical and non-technical stakeholders
• Adapt quickly and thrive in a fast-paced, dynamic environment

Required Qualifications, Capabilities, and Skills:

• Understanding of statistical models such as regression, tree-based methods, and neural networks
• Proficiency in at least one programming language for data analysis (e.g., Python, R, MATLAB, Scala)
• Experience applying data science and quantitative modeling to real-world financial use cases
• Knowledge of open-source data analysis tools and machine learning libraries
• Ability to create technical documentation and present to varied audiences
• Run @ AI speed
• Hands-on experience or strong understanding of LLMs, fine-tuning, GenAI chatbots, agentic architectures, and evaluation approaches
• Ability to manage ambiguity and context switch effectively
• Operate efficiently in high-speed, evolving settings
• Strong skills in synthesizing complex information
• Excellent communication skills

Preferred Qualifications, Capabilities, and Skills:

• Master’s degree in a quantitative discipline
• Knowledge of cloud-based data science and machine learning services
• Experience with large-scale and distributed data analysis tools (e.g., Spark)