JPMorgan Chase is looking to leverage advanced AI solutions to shape the future of financial services, create impactful and scalable tools, drive real business value, and transform operations and client service.
Requirements
- Minimum 6+ years of experience in data science, analytics or a related field.
- 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.
- Proven experience in agentic frameworks (using CruxAI, Google ADK, LangGraph).
- Scientific mindset with the ability to innovate and work both independently and collaboratively within a team.
Responsibilities
- Demonstrate proficiency 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.
- Collaborate 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.
- Contribute to 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 through ongoing performance monitoring.
- Communicate analytical findings and recommendations to senior leadership.
Other
- Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations.
- Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences.
- Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.
