AI/ML - Chief Financial Risk Office - Vice President

JPMorgan Chase & Co. • Jersey City, NJ

9d • $171,000 - $260,000

About The Position

As a Vice President, Data Scientist in the Chief Financial Risk Office Data Science team at JPMorgan Chase, you will develop and implement advanced AI solutions in collaboration with product, engineering, and business partners. You will create scalable tools that deliver business value, applying data science and finance expertise to transform operations and client service.

The role focuses on end-to-end model development and operationalization, multi-agent systems, AI evaluation, ongoing model monitoring, and integrating AI and analytics into business workflows. You will work with senior leaders to re-engineer processes and communicate analytical findings and recommendations. The position is part of Risk Management and Compliance, where the team anticipates and manages emerging risks while supporting responsible business growth.

Requirements

• At least 6 years of experience in data science, analytics, or a related field.
• Track record of deploying, operationalizing, and managing AI, machine learning, 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

• 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, and risk management, ensuring solutions scale and align with business objectives.
• Design and implement multi-agent systems, including orchestration layers for specialized agents, task routing, and human-in-the-loop controls.
• Implement drift monitoring, ongoing performance monitoring, and model retraining processes.
• Define and implement evaluation frameworks for AI and agentic systems, covering prompt quality, agent performance, and business outcome metrics.
• Collaborate with senior leaders to embed AI into existing workflows and drive process 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 support business value and adoption.
• Communicate analytical findings and recommendations to senior leadership.

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

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