JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
Banking · Banking
Currently tracking 333 active AI roles, up 109% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $196k–$285k (avg $242k).
| Title | Stage | AI score |
|---|---|---|
| Risk Management - AI Governance - Model Risk - Executive Director Executive Director role focused on AI Governance and Model Risk Management within JPMorgan Chase's Risk Management and Compliance division. The role involves designing and implementing AI governance frameworks, assessing AI/ML practices, collaborating with stakeholders, and communicating emerging risks to senior management and regulators. Requires extensive experience in risk management and a strong understanding of GenAI tools. | Eval GateAgent | 7 |
| Quantitative Modeling Lead [Multiple Positions Available] This role focuses on evaluating and validating machine learning models, particularly in the context of fraud detection within a financial institution. It involves conducting independent tests, assessing risks, ensuring compliance with regulatory requirements, and mentoring junior team members. The core responsibility is to act as a quality gate for AI/ML models before they are deployed or used internally. |
| Eval GatePost-train |
| 7 |
| Senior Associate Product Delivery - Business Enablement This role focuses on the product delivery of AI-driven improvements within client onboarding and service operations in a financial services context. The primary responsibility is to design, evaluate, and deploy AI solutions, with a strong emphasis on establishing quality gates and evaluation frameworks (L5), while also designing the agentic systems and their components (L4). | Eval GateAgent | 7 |
| AI Control Manager – Senior Associate This role focuses on managing AI controls within a financial institution, involving technical risk assessments of AI/ML use cases, evaluating model design, data quality, and potential failure modes. The manager will also develop and implement AI governance frameworks, policies, and control standards, and perform deep-dive technical reviews of AI solutions. The role requires strong Python skills, understanding of ML concepts, and the ability to translate complex AI technical concepts for non-technical stakeholders. Experience with GenAI/LLMs and financial services is preferred. | Eval GatePost-train | 7 |