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JPMorganChase

2025 Data for Good- London

Reposted 3 Hours Ago
Be an Early Applicant
Hybrid
London, England
Internship
Hybrid
London, England
Internship
Participants will work on technology challenges for nonprofits, developing skills, collaborating with teams, and sharing insights. They can receive priority consideration for future internships.
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Job Description
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 Java
  • Strong 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, UK
  • Paris, FR
  • Glasgow, 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 Office
  • Event 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:
  1. Please ensure read the Official Rules before you start this application.
  2. 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.
  3. After you submit your application, we will review it to determine whether you meet certain required qualifications.
  4. Selected applicants will be notified via email with final event details.
  5. 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.
Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.
©2025 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran
About Us
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. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Top Skills

C++
Java
Matlab
Power BI
Python
R
SQL
Tableau

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