Please update your browser.
J.P. Morgan empowers today’s talent to solve real-world problems
Identifies unusual patterns in order to minimize and mitigate risk
Complements traditional pricing models, enabling more accurate prediction and confidence intervals
Aggregates news from various sources and provides analytics for sentiment, summarization, topics and trading signals
Quantitative Client Intelligence
Draws insights from multi-channel client communications to be used to improve client service
Identifies meaningful information and insights from lengthy text sources in order to reduce manual operations and improve workflow
Automates responses to client queries, (chat, email, voice) with the goal of improving client service and operational efficiency
Meet the Team
CIB Chief Data & Analytics Officer (CDAO)
Samik is the Chief Data & Analytics Officer for the Corporate & Investment Bank and is responsible for driving the data strategy and governance, data commercialization agenda as well as delivering data analytics solutions to the businesses.
He leads the Applied AI & ML organization for CIB and the firmwide Machine Learning Center of Excellence, where he is responsible for advancing the development and adoption of scalable analytics and AI solutions across its businesses. He also leads the CIB Chief Data & Analytics Office (CIB CDAO) where he partners with organizations across the firm to deliver best-in-class data management capabilities and platforms that offer secure and reliable data. Lastly he is responsible for driving the CIB data commercialization agenda including PricingDirect.
Samik has more than 22 years of experience at J.P. Morgan with the majority 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.
Machine Learning Center of Excellence
Pairing the unique and complicated data and problems of a bank, with machine learning expertise
Lidia Mangu, PhD
Head of Machine Learning Center of Excellence
Lidia Mangu is the Head of the Machine Learning Center of Excellence at JPMorgan Chase. Prior to joining the bank, Dr. Mangu worked at IBM’s Watson Research Center for 17 years, where she managed the Advanced Speech Research group - a Machine Learning group specializing in Speech Recognition.
Dr. Mangu published more than 100 papers in conferences and journals, received several Best Paper awards and holds many US Patents. She has a Ph.D. in Computer Science from Johns Hopkins University.
Applied Artificial Intelligence & Machine Learning
Embedded directly with the business to provide solutions through data science
Head of CIB Applied Artificial Intelligence, Machine Learning and Data Analytics, J.P. Morgan
Andy Alexander is the Head of Applied Data Science at J.P. Morgan. He leads Artificial Intelligence and Machine Learning within the firm’s Corporate & Investment Bank for non-markets activity. He manages a global team responsible for the end-to-end delivery of analytic solutions across a wide range of businesses.
He has worked with data and analytics throughout his career, holding senior positions in both applied machine learning and data science technology.
Andy has an academic background which spans economics, econometrics, computer science and applied mathematics.
Head of CIB Operations Applied Artificial Intelligence, Machine Learning and Data Analytics, J.P. Morgan
Charles Holive is the Head of the CIB Operations Applied Artificial Intelligence and Machine Learning. He leads an organization within the firm’s Corporate & Investment Bank to deliver pioneering solutions across Markets, Securities Services, Wholesale Payments & Wholesale Client Onboarding & Documentation.
Charles is a recognized industry thought leader in business innovation, analytics and AI. In the last 10 years, he has specialized in creating, scaling and running new analytics business units that generate tens of millions of incremental yearly revenue and savings.
Charles holds an engineering and business master degree from the French École Centrale de Lille.
The Team of Data Scientists & Machine Learning Engineers
The Applied AI and Machine Learning Center of Excellence (ML CoE) teams partner across the firm to create and share Machine Learning Solutions for our most challenging business problems. Comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning, the ML CoE works together to employ cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning. Areas of expertise include: Natural Language Processing, Speech/ Voice Analytics, Time Series and Computer Vision. Both partner with the AI Research team to advance cutting-edge AI research to solve these real-world problems.
Life as an AI Researcher & Machine Learning Engineer
Our J.P. Morgan office is a place where you can solve real-world problems using state of the art machine learning methods and cutting-edge AI research.
Learn more about the upcoming conferences we’re attending and sponsoring
June 2019: Long Beach, California
J.P. Morgan sponsored the 2019 International Conference on Machine Learning (ICML) in Long Beach, California. ICML is a premier gathering of over 6,000 participants dedicated to the advancement of the branch of artificial intelligence known as machine learning. Participants span a range of backgrounds, from academic and industrial researchers, engineers and entrepreneurs, to graduate students and PhD postdocs. Professionals present and publish cutting-edge research on all aspects of machine learning.
This year, J.P. Morgan ramped up its presence by serving as a gold sponsor, sending 30 employees from across the firm on different teams to share and discuss the firm’s commitment to this space. This is a reflection of the firm’s growing commitment to key investments in AI and machine learning and it’s starting to pay off. Attendees were eager to hear how the firm is applying AI within the firm and what opportunities J.P. Morgan has available.
The firm hosted a workshop on AI in Finance, the first of its kind in the conference’s 36 year history. J.P. Morgan employees presented six research papers and garnered over 300 workshop attendees.
J.P. Morgan is a proud sponsor of CRYPTO. Join us for our workshop, “Privacy Preserving Machine Learning.” Check back after the event for a full recap.
December 2019: Vancouver, Canada
J.P. Morgan served as a platinum sponsor for the Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019 conference held in Vancouver, Canada. NeurIPS has established itself as one of the leading AI conferences in the world, with a record 13,000 attendees this year. To mark its growing interest in technology investment, AI and machine learning, J.P. Morgan sent nearly 50 employees to the conference with representation from all lines of business and three continents.
This year, the firm also hosted its first industry-focused EXPO workshop in partnership with Two Sigma and Hudson River Trading, which garnered over 450 attendees, filling every available seat in the room. In total, 14 research papers authored by JPMC employees were accepted to the workshop. With the growing interest and strong attendance in finance workshops, Tucker Balch and Manuela Veloso from the AI Research team are helping to organize the first international AI in Finance (ICAIF) conference in partnership with the Association for Computing Machinery (ACM), which will be held in New York City on October 15-16 in 2020.
December 2018: Montreal, Canada
With nearly 9,000 attendees, NeurIPS is one of the most prominent and longest-running machine learning and artificial intelligence conferences in the world, bringing together academics and tech giants like Google to share cutting-edge research.
For the first time since its inception 32 years ago, the conference hosted a workshop on AI in financial services. This workshop was jointly organized by J.P. Morgan and Capital One, with invited speakers from Georgia Tech, University of Michigan, Cornell, S&P Global.
J.P. Morgan’s head of AI Research Manuela Veloso and head of CIB Data Analytics, Applied AI & ML Samik Chandarana spoke at the workshop, which addressed key challenges to the adoption of AI in the financial system:
- Ethical and regulatory needs to prove that models are fair and unbiased
- Requirements around explainability and interpretability of models
- Operating standards which require nothing short of perfect accuracy for certain use cases
- Privacy issues around collection and use of consumer and proprietary data
In addition to the workshop, Veloso and Chandarana, joined by other J.P. Morgan employees, held “lightning talks” at the J.P. Morgan booth attracting hundreds of candidates and hosted a reception attracting leading AI researchers from industry and academia.
Collaborate with us and our open source community.
J.P. Morgan Developer
J.P. Morgan Developer
Access & integrate APIs, code generation and testing tools across research, markets, treasury services and merchant services.
Explore our career opportunities to design, build and deploy tomorrow’s innovative technology
You're now leaving J.P. Morgan
J.P. Morgan’s website and/or mobile terms, privacy and security policies don’t apply to the site or app you're about to visit. Please review its terms, privacy and security policies to see how they apply to you. J.P. Morgan isn’t responsible for (and doesn’t provide) any products, services or content at this third-party site or app, except for products and services that explicitly carry the J.P. Morgan name.