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Leading innovation through data and insights
Our team of experts in data and analytics sit at the intersection of data science, research and innovation to solve pressing financial problems. We create solutions to help our customers and clients achieve their financial goals, improve their experiences and protect their information.
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Shape the future of the firm
Our data scientists are backed by our most senior leadership, an $11.6 billion annual technology investment and programs designed to foster learning, development and collaboration.
Turn insights into action
Whether working with big data, top analytics tools, artificial intelligence, machine learning models or robotics, our teams collaborate using cutting-edge technology to drive real world impact and solutions.
By innovating and investing in our people and tool sets, we're able to maximize our employees’ skills by removing the manual work out of day-to-day processes and simplifying tasks to save time.
Who we are
Investments in data and analytics are changing our industry and the way we work. Today, our data and analytics teams, led by top experts in the field, are helping serve our customers and clients with greater depth, sophistication and innovation.
Did you know?
We host an annual Data & Analytics Symposium, where our data, analytics, modeling and research practitioners gather to foster knowledge sharing and collaboration.
Our data and analytics teams apply their deep academic discipline and theoretical expertise by working on some of the most complex issues transforming our industry. As a community, we help support 17 other teams across the entire business in 33 different countries around the world, and as we continue to expand, there are more opportunities than ever for collaboration and innovation with our experts. We have several programs, forums and networking events to help make sure our teams are connecting across departments to create best-in-class solutions.
We partner with world class universities like the Massachusetts Institute of Technology (MIT) and Columbia University to sponsor events and conferences such as RoboCup, NeurIPS, and ICML. We also host our J.P. Morgan Distinguished Lecture Series on AI, where we inite global AI experts to share expertise with the firm.
This employee networking group connects quantitative employees, including data analysts, risk modelers, analytics solutions directors and technology professionals, to build relationships, learn and share best practices, and identify career opportunities. QΣD is in select markets and is expanding to others.
This group – part of QΣD – provides support for women in data roles. We meet to exchange ideas, network and foster career mobility. We know that an inclusive environment comprised of employees with a diversity of thoughts, backgrounds and experiences helps us better solve problems and serve clients.
We have several internal opportunities and events for employees. These events give our data and analytics community an opportunity to collaborate and solve data-driven challenges with other specialists and technologists across the globe.
Across our businesses, our data and analytics teams offer a number of specialist career areas. Each of our employees is part of a community of talented individuals driving change across the company and making significant contributions to the future of our businesses.
Data scientist teams provide solutions and insights for complex and unstructured business-related problems through the use of data-driven techniques. They generate business results by owning the full-cycle of data analytics including identifying issues and opportunities, mining and analyzing data, building models and algorithms to determine data patterns or trends, and delivering meaningful recommendations.
Our quant analyst teams use analytic skills, methods and thinking to solve problems, create metrics, perform analyses, provide feedback and deliver objective insights. They combine analytic skills with specific domain knowledge to improve transparency and decision-making.
Data architecture is responsible for designing, developing, architecting, restructuring and defining the data needed to drive business execution and analytics. This includes data and data quality analysis, data wrangling, business process analysis, defining metadata definitions, creating data flow design, defining data security requirements and data modeling.
Data visualization specializes in visual and graphic concepts, as well as creating the methods and tools to make data and analysis more intuitive, digestible and insightful. They combine art and science to increase the impact of information to support evidence-based business decisions. The team collaborates with business stakeholders to understand complex questions and define problems to solve.
Data management focuses on the oversight, governance and management of the firm’s critical business data to reduce data risks and enhance decision-making. They consult with business partners and technology to assess and mitigate data related operational risks in areas of appropriate use, customer privacy, consumption and quality. They ensure data is available, understandable and high quality, and documented.
Machine learning specialists develop and program integrated software algorithms to structure, analyze and leverage data in systems applications in both structured and unstructured environments. Our teams create advanced financial applications including pricing and credit models, natural language processing tools and risk assessment. Machine learning spans all our lines of business and helps us optimize decision-making.
This team is responsible for data architecture for reporting services, data marts, data warehouses, and enterprise business intelligence systems. We analyze operational data that relates to our client and infrastructure services to provide solutions, reports and documentation of complex operations. Our teams leverage industry-leading reporting technology and infrastructure management platforms to deliver solutions and improve efficiency.
Our Analysts apply their expertise to working on some of the most complex issues transforming our industry. As our teams continue to expand, many of our initiatives have real-time commercial and practical applications. What we do with data is fascinating, cutting edge and making a difference for our customers and clients across the world.
Find out more about some of this work below.
We care about the customer experience, which is why we allow businesses and merchants to access our products and services through the creation of a common JPMorgan Chase API store. The store allows customers to add simple, secure payments to their software.
We use techniques like anomaly detection to find unusual data and outliers, helping us protect the firm and our clients.
Optimal Character Recognition (OCR) – when it comes to onboarding a new client, there’s an army of human operators who look at their financial statements and interpret the document.
The use of tools such as Natural Language Processing helps us analyze speaking and writing patterns to detect insights and meaning in communications. This enables our teams to optimize and personalize client and customer service.
We help streamline our manual day-to-day processes and simplify tasks to save time by applying data analytics to all our internal processes. This frees us to better use our employees’ skills to serve customers and improve our businesses.
Daniel Pinto, Co-President and COO, JPMorgan Chase