hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Join us as an Applied AI ML Associate and help shape the future of data-driven solutions. You’ll collaborate with talented teams, solve complex challenges, and make a real impact for our clients. We offer opportunities to grow your business and technical skills while working with cutting-edge technology. Your contributions will help us deliver meaningful results and showcase the value of our Fusion platform. Be part of a team where your ideas and expertise matter.
As an Applied AI ML Associate in the Data Science team, you will solve complex problems and develop innovative tools and models for internal and external clients. You will build and maintain code and documentation, working closely with data science, product development, and technical teams. You will play a key role in enhancing Fusion, our cloud-native data solution for institutional investors, supporting end-to-end data management, analytics, and reporting. Your work will enable seamless integration of data from multiple sources, helping clients unlock timely analysis and insights. You’ll have the chance to grow your skills and make a critical impact on our team’s success.
Job Responsibilities:
Required Qualifications, Capabilities, and Skills:
Preferred Qualifications, Capabilities, and Skills:
Why Join Us?
Fusion is a cloud-native data solution for institutional investors, providing end-to-end data management, analytics, and reporting across the investment lifecycle. You’ll help clients seamlessly integrate and combine data from multiple sources into a single data model, delivering the benefits of scale, reduced costs, and the ability to unlock timely analysis and insights. If you’re ready to make an impact and grow your career in a collaborative, innovative environment, we invite you to join our team.
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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