VP Data Scientist, AI Risk & Compliance

Aumni; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health care coverage

On-site health centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase in Jersey City is seeking a Vice President, Data Scientist to shape AI solutions across risk management. You will collaborate with product, engineering, and business partners to design scalable tools that deliver real business value and advance the firm’s analytics capabilities.

The role emphasizes end-to-end model development, multi-agent architectures with HITL controls, drift monitoring, and deployment across cloud and data platforms, with leadership influence and clear

Qualifications

• 6+ years in data science, analytics or related field.
• Experience deploying and managing AI/ML models in large-scale environments.
• Experience with AI/ML algorithms, statistical modeling, and scalable data pipelines.
• Experience with A/B testing and production-grade code development.

Responsibilities

• End-to-end model development lifecycle, scalable, business-aligned solutions.
• Design and implement multi-agent systems with orchestration and HITL controls.
• Implement drift monitoring and model retraining for sustained accuracy.
• Define evaluation frameworks for AI/agentic systems and outcomes.
• Embed AI into existing workflows to drive efficiency and change.
• Build and deploy AI/data-driven applications using cloud and data mesh technologies.
• Integrate analytics models into operational workflows and communicate results to leadership.

Skills

Data science

AI/ML

Communication

Team collaboration

Experimentation

Problem solving

Education

Master’s or Ph.D. in Data Science or related field

Tools

LangGraph

ADK

Job description

JPMorganChase in Jersey City is seeking a Vice President, Data Scientist to shape AI solutions across risk management. You will collaborate with product, engineering, and business partners to design scalable tools that deliver real business value and advance the firm’s analytics capabilities.

The role emphasizes end-to-end model development, multi-agent architectures with HITL controls, drift monitoring, and deployment across cloud and data platforms, with leadership influence and clear