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The Supplier Cybersecurity Controls Assessor will assess cybersecurity controls of supplier environments, ensuring compliance with JPMC policies. Responsibilities include managing assessments, identifying risks and vulnerabilities, and collaborating with stakeholders to implement improvements. The role also involves educating peers on best practices and escalating issues as necessary.

As Chief Economist in the Consumer and Business Intelligence Team, you will lead a team of economists to analyze key business health metrics, manage editorial content, develop analytical agendas, and engage with community institutions while translating economic trends into actionable insights for stakeholders.

As a Senior Manager of Software Engineering, you will lead technology and process implementations, manage complex projects, and drive innovation within the SAP technology team. You will collaborate with various stakeholders, enhance software solutions, and improve operational stability while ensuring compliance and governance in coding practices.

The Client Transition Manager at JP Morgan Chase leads large-scale Treasury Services implementations for clients, managing the end-to-end process. Responsibilities include training clients, coordinating with sales and operations, documenting project scope, identifying business risks, and ensuring client satisfaction throughout the implementation process.

The Senior Lead Software Engineer will design, develop, and maintain data ingestion pipelines, collaborate with various stakeholders to ensure data quality, identify and resolve performance bottlenecks, and implement data security measures. They will also provide management services using development languages and maintain documentation of processes.

As an Associate Banker in Middle Market, you will build and deepen client relationships, cover new prospects, conduct portfolio reviews, and work collaboratively with bankers to enhance market share and drive client dialogue.

As the Vice President, Applied AI/ML Lead, you will build production-grade machine learning models and develop end-to-end ML pipelines for commercial banking applications. You'll work with large-scale datasets, applying advanced statistical methods to solve business problems using machine learning and deep learning techniques.