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The Modeler is responsible for developing predictive models and utilizing machine learning techniques to support Discover's business partners. This role involves presenting results of data analysis to management, managing risks, and innovating modeling techniques. The position emphasizes maintaining high competency in statistical and analytical principles.

The Principal Regulatory Operations role involves managing regulatory coordination and examinations, enhancing tracking systems for findings and corrective actions, and facilitating discussions with senior management and regulators. This position requires effective risk management support and communication of compliance information to business clients.

This role supports the Senior Manager and Chief of Staff by managing critical information and facilitating cross-functional collaboration. Responsibilities include continuous improvement of processes, supporting compliance teams, leading event planning, and developing presentations for senior audiences.

The Principal Application Engineer is responsible for creating technology solutions, analyzing, designing, coding, testing, and deploying high-impact software. This role involves risk management, strategic technology decision participation, and coaching across technology communities, with a focus on high complexity solutions.

The Infrastructure Engineer focuses on leading engineering deliverables throughout the product lifecycle, guiding junior engineers, utilizing automation and system tools, and fostering the adoption of new technologies. Responsibilities include designing high-level solutions, participating in agile ceremonies, managing risks, and supporting professional development within the team.

The Application Engineer (Back End) will design, implement, and oversee product features utilizing the software development lifecycle. They will manage risks, mentor early-career engineers, and create high-quality applications with a focus on reliability and security. This role involves collaboration with other teams to ensure technical solutions achieve business goals.

As an Expert Cybersecurity Engineer, you will focus on AI ML Security Risks and application security engineering. Responsibilities include designing cybersecurity strategies, implementing AI safety controls, and managing security risks in AI-driven applications. You will provide engineering support for AI ML projects and collaborate with teams to enhance security frameworks and processes.