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J.P. Morgan Chase & Co. is an American multinational investment bank and financial services company headquartered in New York City. JPMorgan Chase is the largest bank in the United States, and is ranked by S&P Global as the sixth largest bank in the world by total assets as of 2018, to the amount of $2.534 trillion.
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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors.
Careers Opportunities for Graduate Entry Level In 2026
Payments Data & Analytics Analyst
Join the JPM Payments Data & Analytics’ Merchant Services Cost Insights team at JPMorgan Chase, where we leverage data science, research, and business acumen to promote client-focused innovatio!
Job Responsibilities
Creation of chat assistants using multi-agent AI workflows.
Conceptualize solutions that automate and optimize business processes.
Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs.
Provide merchants with actionable recommendations to enhance their cost strategies.
Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making.
Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
Work collaboratively with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms.
Support internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.
Qualifications:
Bachelor’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
Proficiency in Python and SQL for data processing and analysis.
Expertise in quantitative research techniques and analytics using Python.
Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
Knowledge of machine learning/data science theory, techniques, and tools.
Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
Ability to collaborate effectively and cultivate strong partnerships.
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Asset Management Product Strategy Associate
The Asset Management Product Development Associate on the Asset Management Product Strategy team will work collaboratively across the team on a variety of deliverables and strategic initiatives. You will support product-related projects that address distribution, strategic, and regulatory requirements. You will assist with the development of new fund vehicles (e.g., Mutual Funds, ETFs, Commingled Funds, and 529 Plans), product line management, metrics reporting, technology enhancements, and strategic projects for Senior Management.
Qualifications:
2–4 years of experience in the asset management industry, with demonstrated ability in analysis and presentations.
Collaborative team player with intellectual curiosity about the investment industry, strong problem-solving skills, and the judgment to seek assistance when needed.
Strong quantitative and analytical skills, investment knowledge, and acute attention to detail.
Excellent written and verbal communication and presentation skills.
Effective project management and cross-functional collaboration abilities, with a track record of timely execution while balancing competing priorities.
Proficiency in MS Office (Excel & PowerPoint) and the ability to quickly learn market data tools (e.g., Morningstar).
Bachelors degree in finance or related field
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Risk Management – Card Risk Reporting & Analytics – Associate
Job Responsibilities
Develop comprehensive analytics to measure and challenge key business initiatives and recommend innovative solutions
Work independently and in teams to identify and assess performance trends, utilizing both statistical and data mining tools and quantitative methodologies
Conduct root cause analysis to provide clear, actionable recommendations to senior leadership and various stakeholders
Prepare and present detailed risk monitoring reports to senior management and stakeholders, ensuring clear communication of findings
Support the development and maintenance of the company’s risk management framework, ensuring compliance with regulatory requirements
Monitor internal and external behavioral data along with public information on industry trends, regulatory changes, and credit risk management best practices to continuously improve risk management processes
Qualifications:
Ability to logically structure and execute analyses using strong analytic, interpretive, and problem solving skills
Ability to translate complex analysis into practical solutions and create concise presentations with sound business conclusions
Ability to present findings to various levels of management
Ability to adapt to new tools and technologies quickly, demonstrating a proactive approach to learning and applying innovative solutions
A Bachelor’s degree or higher in a quantitative discipline (ex: Finance, Statistics, Economics, Mathematics, Operations Research, among others) and 2+ years of analytics experience
Possess the drive to succeed, be results oriented, have high attention to detail, and independently make decisions
Previous experience with either SAS, SQL, Python, or Tableau analytic tools (other coding languages would be considered)
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