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Delivering excellence at the intersection of data science, research and industry expertise, our AI and Data Science teams go beyond where any bank has gone before. We ask the questions and find the answers to create solutions and technology that help to solve the world's most pressing financial problems, and improve and protect our customer and client experiences every day. Whether you’re working with artificial intelligence, blockchain technology, big data, machine learning or robotics, our entrepreneurial team environment challenges you to push the limits of your expertise in the pursuit of impactful and commercial real world applications.
As an Intern in the Off-Cycle Program, you will work with our AI and Data Science teams. Our Off-Cycle Associate Internship Program begins in Spring, Summer or Autumn, depending on your academic schedule. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.
Job responsibilities
- Explore cutting-edge research in partnership with leading academic institutions, applying the latest Machine Learning techniques to J.P. Morgan’s unique data assets
- Collaborate directly with traders and salespeople to drive the data-led transformation of our businesses
- Focus on Deep Learning, Reinforcement Learning, Natural Language Processing, Speech/Voice Analytics, Time Series, Computer Vision, Cryptography, and Interpretability, and Ethics and Fairness of AI
Required qualifications, capabilities and skills
- Enrolled in a Ph.D. or 2 year Master’s degree program in math, science, engineering, computer science or other quantitative fields with an expected graduation date of January 2024 through December 2025
- Knowledge of machine learning / data science theory, techniques and tools
- Knowledge and proficiency in Python
- Excellent analytical, quantitative and problem solving skills and demonstrated research ability
- Strong communication skills and the ability to present findings to a non-technical audience
Preferred qualifications, capabilities and skills
- Experience with modern machine learning tools such as PyTorch and XGBoost
- Experience with data tools such as Hadoop, PySpark and SQL
- Experience with Java, C++, C#, Rust an additional bonus
- Knowledge in Reinforcement, Meta, or Transfer learning
* If you are pursuing a 4+1 or 1-year Master’s program, we encourage you to apply for the Data Science Summer Analyst program.
What’s next?
Help us learn about you by submitting a complete and thoughtful application, which includes your resume and location preference. Your application and resume are 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 confirm your application, we will review it to determine whether you meet certain required qualifications.
If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding challenge powered by HackerRank and a recorded video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers.
HackerRank and HireVue are required, and your application will not be considered for further review until you have completed this step. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.
We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.
JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.
