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As a Summer Analyst in the Financial Advisor Development Program (FADP), you will take part in a nine-week introduction to our Full-Time program. Centered on providing a detailed view of J.P. Morgan Wealth Management, FADP gives you experience focusing on matters that add value to our clients and our business. Our Summer Internship Program is designed to deepen your investment knowledge and skills through hands-on experience. You’ll have access to training opportunities structured to enhance your business acumen, while further developing your professional and technical skills. You’ll be supported by an entire team, including a dedicated program manager, mentors, and senior leaders who are sincerely invested in your success during your internship.
The mission of the Financial Advisor Development Program is to develop and advance a diverse, equitable, and inclusive community of Investment Professionals to Financial Advisors dedicated to the highest standards of excellence while serving our clients. Our goal is to ensure you have all tools necessary to take advantage of the robust opportunities at hand, resulting in a great summer experience. Successful completion of the FADP Summer Internship Program may result in an offer of employment into our Financial Advisor Development Full-Time Program, which follows a 2 year progression of phone-based roles in the Client Service Center, allowing Analysts to deepen their knowledge of customer service and the wealth management industry.
Job responsibilities:
Required qualifications, capabilities, and skills:
Preferred qualifications, capabilities, and skills:
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As a Strategic Supplier Specialist within the Supplier Experience Team, you will engage with suppliers to enhance their experience and promote the adoption of our commercial card solutions. You will conduct outbound sales calls, develop strong relationships, and collaborate with internal teams to ensure seamless onboarding. Your role will focus on understanding supplier needs, tracking sales activities, and staying informed about industry trends to effectively position our solutions.Job responsibilities
Preferred qualifications, capabilities and skills
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- Bachelor's degree in Business, Analytics, Computer Science, or related field
- 5+ year’s experience in data analytics with advanced Excel proficiency (VBA, pivot tables, array functions, power pivots)
- 3+ years hands-on experience with data visualization tools (Tableau, Quicksight, or Power BI)
- Strong SQL proficiency and experience working with large datasets
- Demonstrated experience in requirements gathering and metrics-driven analysis
- Track record of translating complex data into actionable business recommendations
- Experience collaborating with cross-functional teams and influencing senior stakeholders
- Background in automation and process improvement initiatives
- Strong problem-solving and analytical skills with attention to detail
- Excellent written and verbal communication skills
- Experience with AI/ML tools and automated workflow development
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This is a technical lead role responsible to design, implement and scale: (1) Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements, (2) Permissions strategy, (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks, and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms.
- Build and manage ML pipelines, adapting CI/CD practices, model deployment, orchestration.- Define technical requirements for Data Engineering teams.
- Work in a genuinely global environment.
- Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline.
- Professional experience working with large data sets and writing complex SQL queries to pull data.
- Relevant experience in a BI Engineer or Systems Admin role.
- Python mastery.
- Understanding of DevOps and ML Ops Concepts, version control, CI/CD pipelines, testing and monitoring, infrastructure automation.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.
- Excellent communication (verbal and written) and interpersonal skills.
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Preferred qualifications, capabilities, and skills
Work hours are 12:30 - 9pm.
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