Join the JPM Payments Data & Analytics' Treasure Service team at JPMorgan Chase, where we leverage data science, research, and business acumen to promote client-focused innovation. Apply your technical skills to projects involving payments analytics and cutting-edge Gen-AI applications, creating impactful solutions for Chase Treasury Services clients. 

As a Data Scientist Associate in our Treasury Services team, you will work on projects that integrate agentic workflows, business intelligence, data engineering, and data visualization to grow our payments business.  You will play a pivotal role in developing our generative AI use cases and approach. 

Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers. Our team supports both internal and external payments intelligence applications, as well as custom client analytics requests on an ad hoc basis. 

Utilizing tools such as Databricks, Python, Tableau and Sigma, you will develop data pipelines and dashboards, prototype new generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications. 

 

Job Responsibilities 

Learn our business and how JPMorgan delivers value for our clients globally  Leverage your technical skillset and curiosity to identify opportunities to help grow our TS business Build and rigorously test new data and AI driven insights  Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and expand as needed. Build and test AI agents. Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness. Use tools like Databricks, Python, Tableau and Sigma to create data pipelines and dashboards. Support AI-driven insights and decision-making. Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance. Work on agile teams to support data-driven decision-making and client relationship management. 

 

Required Qualifications, Capabilities, and Skills 

Bachelor's degree in Science, Technology, Engineering, Mathematics (STEM) or related field. Proficiency in Python and SQL for data processing and analysis. Strong problem-solving and critical thinking skills. Experience in leveraging Large Language Models (LLMs) and agentic AI techniques. Ability to automate repeatable tasks to enhance business process efficiency. 

 

Preferred Qualifications, Capabilities, and Skills 

Experience in data analysis, data science, or related fields. Familiarity with AWS, Databricks for data management and analysis. Understanding of quality assurance practices and the importance of data integrity. Knowledge of machine learning/data science theory, techniques, and tools. Awareness of big data technologies (e.g., Spark) and distributed computing concepts like MapReduce.