Risk Management – Data Scientist / Applied AI ML Lead - Vice President

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class.

As a Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance. Together, we will deliver solutions that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment.

Job Responsibilities

Work with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency. Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. Work on research initiatives and pilot projects to identify and apply cutting-edge AI/ML solutions, including GenAI and agentic technologies. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance (ongoing performance monitoring). Communicate analytical findings and recommendations to senior leadership.

Required Qualifications, Capabilities, and Skills

Significant experience in data science, analytics or a related field. Proficient in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code.  Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience in agentic frameworks (using CruxAI, Google ADK, LangGraph).

Preferred Qualifications, Capabilities, and Skills

Advanced degree (Master’s or in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.