Join Data for Good, a social impact hackathon hosted by JPMorganChase’s Tech for Social Good team, where your analytical and coding skills can make a difference for nonprofit organisations. Discover if a career in financial services technology is your calling, as you unlock your potential with a dynamic team of innovative technologists.
About the Program/Event
As a participant in the Data for Good Hackathon within JPMorganChase’s Tech for Social Good team, you will collaborate with expert technologists to creatively address real-world technology challenges faced by nonprofit organizations, fostering innovation and impact. You will have the opportunity to work with fellow aspiring Data Scientists & Quantitative Developers across the country, engage with our recruiting teams, and gain insight into financial and data-focused roles at JPMorgan Chase.
Participating in the Data for Good hackathon offers an opportunity to learn more and receive priority consideration for the 2026 Quantitative Finance & Data Science internship programs. Please be aware that to qualify for these internships, hackathon participants must go through the standard hiring process, which includes additional interviews. Detailed application information will be shared with participants during the event. Travel expenses may be covered under specific conditions. We highly recommend submitting your application early, before the job posting deadline.
Job responsibilities
Own projects end-to-end, ensuring teams and stakeholders are informed about development progress.Collaborate and share ideas, information, and innovation with our global team of technologists.Develop skills through ongoing training, mentorship, and access to senior leaders.Share data-driven recommendations and insights that impact our stakeholders.Work on agile teams alongside peers and experienced technologist.
Required qualifications, capabilities and skills
Enrolled in a Bachelor’s, Master’s, or PhD program in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between January 2025 through August 2027.Proficiency in Python, C++, or JavaStrong analytical, quantitative, and problem-solving skills.Excellent communication skills for presenting complex concepts.Interest in banking analytics, global markets, and quantitative research.Ability to thrive in a fast-paced, collaborative environment.
Preferred qualifications, capabilities and skills
Experience with R, MATLAB, or SQL.Familiarity with data visualization tools like Tableau or Power BI.Understanding of banking products, financial instruments, and market dynamics.Strong organisational skills for managing multiple projects.Ability to articulate complex quantitative concepts to diverse audiences.Locations you may join:
London, UKParis, FRGlasgow, UK
Please, note the above locations are based on acceptance into the Quantitative Finance & Data Science internship programs. The Hackathon will be held in London, UK.
Data for Good Hackathon Details:
Location: JPMorganChase’s London OfficeEvent Date: Friday, 24th October Applications Close: 00.00 on Tuesday, 30th September Event Start Time: 9.00 on Friday, 24th October Event End Time: 21.00 on Friday, 24th October
What’s Next?
To be considered for the Data for Good Hackathon, you must complete the following steps:
Please ensure read the Official Rules before you start this application.Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it’s important to complete all relevant application questions so we have as much information about you as possible. After you submit your application, we will review it to determine whether you meet certain required qualifications.Selected applicants will be notified via email with final event details.Attendees will need to bring their own laptops to the event.
JPMorgan Chase is committed to creating a work environment that respects all people for their unique skills, backgrounds, and professional experiences. We will provide reasonable accommodations for applicants with disabilities, ensuring opportunity for all.
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