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As a Software Engineer I at JPMorgan Chase within the Model Risk Governance & Review (MRGR) team, you will be working on developing tools for MRGR Analytics to enhance efficiency and reduce duplication of effort. Your role will involve supporting model reviewers and governance teams by building independent testing and efficiency tools. High-quality solutions will be delivered by emphasizing data controls, testing, and user experience. Continuous input from users will be sought to align efforts with their objectives. Join JPMorgan Chase's Risk Management and Compliance team to contribute to keeping the firm strong and resilient. Key Responsibilities: - Develop tools to automate tasks in the model governance and review lifecycle. - Create dashboard reports to manage the workload of MRGR. - Translate business requirements in model risk management into business applications using Python. - Integrate Large Language Models (LLMs) into systems to enhance automation and reporting. - Collaborate with cross-functional teams to identify LLM integration opportunities. - Build intelligent solutions to support MRGR staff activities. Qualifications Required: - Bachelor's or Master's degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming. - Minimum 2 years of experience in full stack application development. - Proficiency in Python and knowledge of Tornado web framework/TypeScript/React. - Strong understanding of software architecture, object-oriented programming, and design patterns. - Experience with integrating machine learning models, including LLMs, into enterprise applications. - Excellent communication skills and ability to interface with different functional areas. - Risk and control mindset with the ability to think critically and design solutions to meet user needs. Preferred Qualifications: - Experience working with large data sets. - Exposure to LLM integration and deployment in real-world applications. - Strong UI/UX designing skills. - Experience in model risk management or financial services space. JPMorgan Chase, a leading financial institution with a history spanning over 200 years, offers innovative financial solutions to millions of consumers and businesses worldwide under the J.P. Morgan and Chase brands. Diversity and inclusion are highly valued at JPMorgan Chase, and the company is committed to being an equal opportunity employer. Reasonable accommodations are made for applicants' and employees' needs, including religious practices, beliefs, mental health, or physical disabilities. The Risk Management team at JPMorgan Chase plays a crucial role in understanding, managing, and anticipating risks in a rapidly changing environment. They provide independent oversight and maintain an effective control environment to ensure the firm's stability and success. As a Software Engineer I at JPMorgan Chase within the Model Risk Governance & Review (MRGR) team, you will be working on developing tools for MRGR Analytics to enhance efficiency and reduce duplication of effort. Your role will involve supporting model reviewers and governance teams by building independent testing and efficiency tools. High-quality solutions will be delivered by emphasizing data controls, testing, and user experience. Continuous input from users will be sought to align efforts with their objectives. Join JPMorgan Chase's Risk Management and Compliance team to contribute to keeping the firm strong and resilient. Key Responsibilities: - Develop tools to automate tasks in the model governance and review lifecycle. - Create dashboard reports to manage the workload of MRGR. - Translate business requirements in model risk management into business applications using Python. - Integrate Large Language Models (LLMs) into systems to enhance automation and reporting. - Collaborate with cross-functional teams to identify LLM integration opportunities. - Build intelligent solutions to support MRGR staff activities. Qualifications Required: - Bachelor's or Master's degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming. - Minimum 2 years of experience in full stack application development. - Proficiency in Python and knowledge of Tornado web framework/TypeScript/React. - Strong understanding of software architecture, object-oriented programming, and design patterns. - Experience with integrating machine learning models, including LLMs, into enterprise applications. - Excellent communication skills and ability to interface with different functional areas. - Risk and control mindset with the ability to think critically and design solutions to meet user needs. Preferred Qualifications: - Experience working with large data sets. - Exposure to LLM integration and deployment in real-world applications. - Strong UI/UX designing skills. - Experience in model risk management or financial services
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