Full Job Description
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. More information about the firm is available at http://www.jpmorganchase.com/.
The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, to develop and discover principles of impact to the firm’s clients and businesses.
J.P. Morgan AI Research has assembled a team of experts in many fields of AI. They pursue primary research in areas related to our research pillars as well as concrete problems related to financial services. They partner with internal teams to accelerate the adoption of AI within the firm. They also work with leading academic faculty around the world on areas of mutual interest.
The team is headquartered in New York and present in London and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact - as a member of this highly visible team, you will have the opportunity to realize significant impact not only within J.P. Morgan but also to the broader AI community.
As a Research Scientist on the team, you will conduct end-to-end research typically within a specialized focus area. You will work on multiple research projects in collaboration with internal and external researchers and with applied engineering teams.
You will be integral to all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research. Your output will result in high-impact business applications, open source software, patents and/or publications in AI/ML conferences and journals.
As a member of the AI research community, you will also have the opportunity to participate in relevant top-tier academic conferences to broaden the impact of your contributions.
PhD in Computer Science (especially AI/ML) or related fields
Research publications in prominent AI/ML venues; e.g., conferences, journals
Expertise in one or more specialized areas; e.g., deep learning (DL), reinforcement learning (RL), planning, information representation and retrieval, graphs, multiagent systems (MAS), natural language processing (NLP)
Practical experience with ML platforms such as Tensorflow/Keras, PyTorch, etc.
Comfort with rapid prototyping and disciplined software development processes
Practical software engineering experience in collaborative project settings
Masters degree in Computer Science, Statistics, Engineering or related fields
Extensive programming skills in Python, Java or C++
Proficient understanding of fundamental AI and ML techniques; e.g., A*, regularization
Practical experience with statistical data analysis and experimental design
Curiosity, creativity, resourcefulness and a collaborative spirit
Clear and effective verbal and written communication skills
Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds
Interest in problems related to the financial services domain (specific past experience in the domain is not required)
Comfort with ambiguity and proven ability to structure problems and develop analytical frameworks
Exercise sound judgment; act with integrity; protect our company, clients and customers
Highly self-motivated, able to manage and deliver in an innovative and fast-paced environment