Join J.P. Morgan’s Operations team as a Data Science Analyst and play a pivotal role in transforming raw data into meaningful, intelligent solutions. You’ll work with cross-functional teams to drive automation, process improvement, and support decision-making through innovative data solutions.
You will be involved in designing and implementing automation and digitization strategies, analyzing business requirements, and leveraging tools in low-code/no-code platforms to deliver measurable impact.
AI/ML, Python, Alteryx, PEGA Workflow, Microsoft Excel, Microsoft PowerPoint, Microsoft Visio, NLP, LLMs
The Commercial & Investment Bank at J.P. Morgan provides strategic advice, raises capital, manages risk, and delivers liquidity in over 100 markets globally. The Operations team enables efficiency, automation, and intelligent solutions to support core banking functions, delivering measurable outcomes at scale.
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JPMorgan Chase & Co. is one of the world's largest and most influential financial services firms, headquartered in New York City. Founded in 1799, the company operates globally, offering a wide range of services including investment banking, commercial banking, asset management, and wealth management. With over 290,000 employees worldwide, JPMorgan Chase serves millions of customers, businesses, and institutions, maintaining a strong presence in more than 100 markets.
The company's mission is to drive economic growth and serve its clients by delivering innovative financial solutions, fostering community development, and promoting sustainable business practices. Known for its robust market position, JPMorgan Chase consistently ranks among the top banks in terms of assets and market capitalization. In recent years, it has invested heavily in digital banking technologies and fintech partnerships, and has made significant commitments toward environmental sustainability, including financing initiatives for renewable energy and reducing its carbon footprint.
Websitejpmorganchase.com
