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About Us:
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world’s most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years, and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.
Role Overview:
The associate will execute an array of research deliverables using AI-driven technologies and advanced analytical tools. The associate will support the Strategic Intelligence Lead for the Commercial & Investment Bank (CIB) by performing in-depth research, data analysis, and producing comprehensive reports and presentations that inform strategic decisions.
Key Responsibilities:
Conduct in-depth research utilizing advanced AI and industry-standard tools to gather and analyze data related to market trends, industry dynamics, and the competitive environment
Synthesize data from diverse sources into actionable insights, highlighting strategic implications for the Commercial & Investment Bank
Prepare detailed reports, presentations and whitepapers, that clearly communicate findings and recommendations
Explore new analytical methods and stay updated on AI advancements to enhance research capabilities
Support ad hoc research and deep-dive projects as requested by senior stakeholders, ensuring alignment with strategic objectives
Desired Skillset:
Demonstrated success in conducting in-depth research and analysis, with a focus on strategic recommendations
Skilled in AI tools, data analytics, and standard business software, with hands-on experience in leveraging technologies such as Large Language Models
Strong written and verbal communication skills, with the ability to present complex findings clearly and impactfully to a senior audience
Proactive, adaptable, and entrepreneurial with a creative problem-solving mindset
Experience in leveraging statistical modeling techniques and working with large datasets is preferred
Qualifications:
Advanced degree in business administration, finance, economics, technology or a related field
3+ years of experience in a research or strategy role preferably with exposure to the Financial Services industry
Understanding of tools such as SQL, Python and statistical modeling software
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