2025 Data for Good Hackathon (Associate) - Manhattan, New York

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 organizations.

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

Tech for Social Good at JPMorganChase is focused on building tech capacity for nonprofit organizations and increasing access to tech experiences for community members.

By attending Data for Good, you will collaborate with our expert technologists to creatively address real-world technology challenges faced by nonprofit organizations, fostering innovation and impact.

This experience offers you the chance to network with fellow aspiring Quantitative Developers across the country and engage with our recruiting teams, providing insight into financial and data focused roles at JPMorgan Chase.

Over two days (Friday - Saturday), you and your team will analyze large, social good data sets and derive insights for a leading nonprofit organization, with travel expenses covered under certain conditions.

Your participation in the Data for Good hackathon may also lead to an opportunity for you to learn more about and be a priority consideration for the 2026 Quantitative Finance Analyst & Associate Summer Program.

Please note, to be considered for internship opportunities, Data for Good participants will be required to participate in the standard hiring process, including additional interview steps.

Additional information, including application details, to be provided to Data for Good participants.

Job Summary

As an intern in the Quantitative Finance Program, you will work alongside top-tier professionals in a dynamic environment.

You'll apply academic knowledge to real-world financial challenges, gain hands-on experience, and build a valuable network.

This program sets a solid foundation for your career, with potential full-time offers upon successful completion.

Job Responsibilities:


* Analyze data to identify patterns, revenue opportunities, and market trends.


* Conduct back testing and assess risk management strategies.


* Maintain and improve software systems and tools for trading operations.


* Assess models for conceptual soundness, risks, and enhancements.


* Propose creative solutions to complex challenges.


* Collaborate with internal teams to advance trading services.


* Focus on model development and review of conceptual design.


* Develop, validate, and enhance mathematical models and algorithms.

Required qualifications, capabilities and skills


* Pursuing a Master's or PhD degree program at a US institution in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between December 2026 and August 2027.


* Strong analytical, quantitative, and problem-solving skills.


* Exc...