AI/ML - Chief Financial Risk Office - Vice President

JPMorganChase • Jersey City, NJ

9d

About The Position

As a Vice President, Data Scientist on the Data Science team within Risk Management and Compliance, you will develop and implement advanced AI solutions that support the future of financial services. You will collaborate with product, engineering, and business partners to build scalable tools that deliver business value, while applying data science and finance expertise in an environment focused on innovation and responsible risk management.

The role includes developing and operationalizing AI and data-driven applications, embedding AI into business workflows, and integrating analytics into operations to support adoption and measurable outcomes. You will also communicate analytical findings and recommendations to senior leadership.

Requirements

• At least 6 years of experience in data science, analytics, or a related field.
• Track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment.
• Experience with AI/ML algorithms, statistical modeling, and scalable data processing pipelines.
• Experience with A/B experimentation and developing and debugging production-quality code.
• Strong written and verbal communication skills, including the ability to explain technical concepts and results to technical and business audiences.
• Scientific mindset, ability to innovate, and ability to work independently and collaboratively.
• Ability to thrive in a matrix environment and build partnerships with colleagues at different levels and across multiple locations.
• Experience building and deploying multi-agent systems, including orchestration frameworks such as LangGraph or ADK, agent design patterns, and production-grade system integration.

Nice To Haves

• Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field.
• Experience leading projects; line management responsibility for direct reports is a strong plus.

Responsibilities

• Manage the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and alignment with business objectives.
• Design and implement multi-agent systems, including orchestration layers, task routing, specialized agents, and human-in-the-loop controls.
• Implement drift monitoring and model retraining processes, and monitor ongoing model performance.
• Define evaluation frameworks for AI and agentic systems, including prompt quality, agent performance, and business outcome metrics.
• Collaborate with senior leaders to re-engineer processes by embedding AI into existing workflows to drive change and efficiency.
• Design, build, and deploy AI and data-driven applications using cloud, data mesh, and knowledge base technologies, including centralized repositories, semantic search, and automated information retrieval.
• Integrate advanced analytics models and applications into operational workflows to deliver business value and adoption.
• Communicate analytical findings and recommendations to senior leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed