AI & Data Science

You'll apply the latest Data Science techniques to our unique data assets while collaborating directly with traders and salespeople to drive the data-led transformation of our businesses. 

Depending on your area of interest, AI & Data Science Interns will be placed on one of the following teams:

• Machine Learning Centre of Excellence: Join a world-class machine learning team that continually advances state-of-the-art methods to solve a wide range of real-world financial problems by leveraging JPMorgan Chase’s vast datasets.  With this unparalleled access to data, a remit that spans all of the firm’s lines of business, and history of setting the standard for deep learning and RL based solutions in NLP, time series, speech analytics and more, the team is transforming how the financial industry operates.

• AI Research: Explore cutting-edge research in the fields of AI and Machine Learning, as well as related fields like Cryptography, to develop solutions that are most impactful to J.P. Morgan’s clients and businesses. The team works closely with the QR and Data Analytics teams across the firm, and partners with leading academic and research institutions around the world on areas of mutual interest.
  
• Applied AI & Machine Learning: Combine machine learning techniques with unique data assets to optimize business decisions. Develop tools to leverage machine learning and deep learning models to solve problems in areas like Speech Recognition, Natural Language Processing and Time Series predictions.
  
• Quantitative Research Machine Learning: Use techniques like collaborative filtering, deep learning and reinforcement learning. Touch all aspects of the business from sales and client interaction, to risk management, inventory and portfolio optimization, electronic trading and market making.
  
• Markets (Sales, Trading & Research): Invent new ways to access market liquidity, run statistical analysis, create new mathematics models, write code and build and deploy everything from enterprise technology initiatives to big data.
  
• Asset Management: Provide quantitative solutions to asset allocation and portfolio construction.
  

Valued qualities

For our internship roles we’re looking for those enrolled in an undergraduate or graduate degree program in math, sciences, engineering, computer science or other quantitative fields.

We are seeking colleagues with excellent analytical, quantitative and problem solving skills and demonstrated research ability. We value strong communication skills and the ability to present findings to a non-technical audience. We do not require you to have prior experience in financial markets.

Key skills

• Knowledge of machine learning / data science theory, techniques and tools

• Programming experience with one or more of Python, Matlab, C++, Java, C#

• 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

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. 

Training

Through research and hands-on work experience, you'll develop solutions and technology that help to solve the world's most interesting financial problems, and improve and protect our customer and client experiences every day. You'll be supported by your teammates, tutors and mentors throughout the internship experience.

Career Progression

The specialized knowledge and skills gained through the program will prepare you for a successful career at the firm. Top performing candidates may receive a full-time offer.