Inside the program

Your responsibilities will vary based on your location and team assignment, and you'll build innovative solutions that make a difference for our customers, clients, and employees. 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. Across all projects and businesses, you’ll have the opportunity to develop your skills, work with innovative technologies, and build solutions using agile methodologies and more.

You’ll develop the skills to take your career in any direction and make a genuine contribution to our businesses from the start. We’re always looking for new ways to innovate, so your ideas and contributions will be welcomed from the beginning.

Valued qualities

Internships are available to students pursuing undergraduate or graduate degrees in math, statistics, sciences, engineering, computer science, or other quantitative fields.

Key skills

Requirements vary by role, but typically include:

  • Knowledge of machine learning/data science theory, techniques, and tools
  • Proficiency in Python, MATLAB, C++, Java, and/or C#
  • Strong quantitative and analytical skills, with emphasis on problem-solving and research
  • Excellent communication skills, with the ability to convey technical information to non-technical audiences

 

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 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.

Explore life at JPMorganChase with this free & self-paced virtual experience. To learn more and register, visit the Quantitative Research page on Forage.

*Registration or completion of Forage virtual experience programs is optional and will not impact consideration or hiring decisions.

Your responsibilities will vary based on your location and team assignment, and you'll build innovative solutions that make a difference for our customers, clients, and employees. 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. Across all projects and businesses, you’ll have the opportunity to develop your skills, work with innovative technologies, and build solutions using agile methodologies and more.

You’ll develop the skills to take your career in any direction and make a genuine contribution to our businesses from the start. We’re always looking for new ways to innovate, so your ideas and contributions will be welcomed from the beginning.

Valued qualities

Internships are available to students pursuing undergraduate or graduate degrees in math, statistics, sciences, engineering, computer science, or other quantitative fields.

Key skills

Requirements vary by role, but typically include:

  • Knowledge of machine learning/data science theory, techniques, and tools
  • Proficiency in Python, MATLAB, C++, Java, and/or C#
  • Strong quantitative and analytical skills, with emphasis on problem-solving and research
  • Excellent communication skills, with the ability to convey technical information to non-technical audiences

 

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 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.

Explore life at JPMorganChase with this free & self-paced virtual experience. To learn more and register, visit the Quantitative Research page on Forage.

*Registration or completion of Forage virtual experience programs is optional and will not impact consideration or hiring decisions.

Our opportunities

Create solutions that help solve some of the world’s most pressing problems. Areas of focus include big data analytics, deep learning, reinforcement learning, natural learning processing, machine learning, time series, automation, explainability, and interpretability.

FAST develops and executes actionable data science and analytical solutions in a consulting-style environment, while emphasizing creative, practical problem-solving and superior client interaction. The team works on a large range of strategic, highly visible projects with various internal clients and analytics teams across our lines of business and corporate functions. 

Click here to learn more about FAST.

The MLCoE applies cutting-edge machine learning and artificial intelligence methods to challenging problems across the firm. The organization collaborates with data analytics, engineering, and product teams across all functions—from sales and trading to digital, operations, finance, and risk—and every line of business, from wholesale banking to retail. Their approach combines business knowledge with deep technical AI/ML expertise to build and deploy compatible, scalable solutions across the firm. The team has expertise in natural language processing, speech recognition, time series and reinforcement learning, and other machine learning specializations.

The AI Research program aims to explore and advance 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 the firm’s clients and businesses. Experts across multiple AI fields, the team engages in primary research that supports the firm’s research pillars, as well as pressing financial services issues. They also partner internally to accelerate the adoption of AI within the firm, and collaborate with leading faculty around the world on matters of mutual interest.

Create solutions that help solve some of the world’s most pressing problems. Areas of focus include big data analytics, deep learning, reinforcement learning, natural learning processing, machine learning, time series, automation, explainability, and interpretability.

FAST develops and executes actionable data science and analytical solutions in a consulting-style environment, while emphasizing creative, practical problem-solving and superior client interaction. The team works on a large range of strategic, highly visible projects with various internal clients and analytics teams across our lines of business and corporate functions. 

Click here to learn more about FAST.

The MLCoE applies cutting-edge machine learning and artificial intelligence methods to challenging problems across the firm. The organization collaborates with data analytics, engineering, and product teams across all functions—from sales and trading to digital, operations, finance, and risk—and every line of business, from wholesale banking to retail. Their approach combines business knowledge with deep technical AI/ML expertise to build and deploy compatible, scalable solutions across the firm. The team has expertise in natural language processing, speech recognition, time series and reinforcement learning, and other machine learning specializations.

The AI Research program aims to explore and advance 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 the firm’s clients and businesses. Experts across multiple AI fields, the team engages in primary research that supports the firm’s research pillars, as well as pressing financial services issues. They also partner internally to accelerate the adoption of AI within the firm, and collaborate with leading faculty around the world on matters of mutual interest.

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