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J.P. Morgan

Artificial
Intelligence

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Group 7 Created with Sketch. J.P. Morgan AI

Investments in data analytics are changing our industry and the way we work. Today, our data analytics capabilities enable us to serve our customers and clients with greater depth, sophistication and efficiencies through innovations such as artificial intelligence, machine learning, natural language processing and bots.

Our AI Research team is dedicated to building on our reputation as Wall Street's leading technology bank. This expanded effort will be aimed at identifying further opportunities and designing more solutions that could potentially transform financial services. The team also partners closely with universities and research institutions in this space.

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Intelligent Pricing

Empowered by data-driven insights and automation, our team develops pricing and quoting tools to better serve our clients.

Virtual Assistants

Our teams are developing the best-in-class virtual assistants to help clients get the right answers and insights quicker.

Client Insights

Using machine learning techniques, our clients can proactively receive personalized actions, news alerts and sentiment analysis on the topics that matter most to them.

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Samik Chandarana

Managing Director and Head of Data Analytics, Corporate & Investment Bank


In this role, he leads the Data Analytics team and is responsible for a cohesive data science strategy, coordinating and prioritizing the portfolio of projects, as well as developing a framework for the appropriate sourcing and usage of data across businesses. He also works closely with the firm’s technology teams and the Chief Data Office to identify and build specialized capabilities that require long-term investments, build and maintain appropriate data and research platforms, develop and grow suitable external partnerships, and ensure a resilient, well-controlled and scalable analytics and data science infrastructure.

Samik has more than 18 years of experience in Credit Markets where he was most recently the head of Global Credit Indices and Global Credit eTrading. He obtained a degree in Engineering and Management from the University of Manchester Institute of Science and Technology in England.

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Data & Cryptography

We are researching data itself. Our researchers, therefore, are exploring new ways to clean, integrate and auto-generate appropriate data to help train our machine learning algorithms, while committing to meet the highest security and privacy standards. We partner with our data management, technology architecture and cybersecurity experts to solve data and security issues that face our global bank.

Learning From Experience

We believe in symbiotic relationships between humans and AI. Through techniques such as deep learning and reinforcement learning, not only can machines learn, but also humans can learn what the machines are capable of in innovating the way we work in the finance industry.

Explainability & Interpretability

Our researchers believe that our clients, communities and regulators must be able to understand our algorithms. Our team collaborates closely with risk and technology to ensure interpretable techniques are integrated throughout our businesses.

Ethics & Fairness

Our researchers are focused on creating unbiased and ethical models in order to sustain J.P. Morgan’s relationship with its customers, communities and regulators. Researchers partner with our data analytics and risk teams to develop and implement these fair techniques.

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Manuela Veloso, Ph.D.

Managing Director and Head of AI Research, J.P.  Morgan


Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction. J.P. Morgan AI Research partners with applied data analytics teams across the firm as well as with leading academic institutions globally.

Professor Veloso is on leave from Carnegie Mellon University as the Herbert A. Simon University Professor in the School of Computer Science, and the past Head of the Machine Learning Department. With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings.

Professor Veloso is the Past President of AAAI, (the Association for the Advancement of Artificial Intelligence), and the co-founder, Trustee, and Past President of RoboCup. Professor Veloso has been recognized with multiple honors, including being a Fellow of the ACM, IEEE, AAAS, and AAAI. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research.

Manuela Veloso's publications



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