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Responsible for defining and articulating the Chief Data Office vision and strategy, executing strategic initiatives, and leading critical projects to enable AI-ready data and manage data risk effectively.
Apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Collaborate with various lines of business within JP Morgan to develop scalable tools leveraging machine learning and deep learning models for real-world problems in finance, economics, and operations. Lead projects in developing production-level machine learning applications.
Lead the execution of AI solutions in Securities Services Operations, construct robust and scalable AI functionalities, work with software engineering teams, collaborate with business domain experts, refine machine learning models, stay updated with AI trends, offer technical mentorship, and disseminate best practices.
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As a Python Software Engineer III at JPMorgan Chase, you will design and deliver trusted technology products in a secure, stable, and scalable way. Responsibilities include software solutions, design, development, troubleshooting, data analysis, and contributing to software engineering communities.
Lead Software Engineer responsible for developing secure high-quality production code, identifying opportunities for automation, leading evaluation sessions, and fostering diversity and inclusion within the team. Requires 5+ years of applied experience, Python hands-on experience, payments business knowledge, and proficiency in software development life cycle and financial services industry.
The role involves designing complex SQL queries, developing automation solutions, and leading data integration projects while ensuring data quality. Mentorship for junior members is included in the responsibilities.
As an Android Lead Software Engineer, you will design, develop, and enhance market-leading technology products. Responsibilities include building secure production code, producing design artifacts, analyzing data, and improving coding hygiene. You will contribute to software engineering communities and support the firm's business objectives through innovative technology solutions.
The Data Visualization Associate at JPMorgan Chase will gather business requirements, create Tableau and Looker dashboards, ensure data preparation using SQL, and manage the performance of data presentations. The role requires collaboration with tech teams and effective communication with stakeholders.
The Data Engineer will analyze and interpret trends from complex datasets, transform data load into a compatible format for AWS, and ensure the quality of data. They will collaborate with stakeholders and development teams using agile methodologies to deliver solutions on time and budget.
As a Risk Modeling - Machine Learning Associate, you will develop and implement machine learning and statistical models while collaborating with cross-functional teams. Your responsibilities include model evaluation, data manipulation, and management of the modeling lifecycle to enhance risk management in banking.
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