The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, to develop and discover principles of impact to JPMorgan Chase's clients and businesses. JPMorgan Artificial Intelligence Research has recently established the firmwide Explainable Artificial Intelligence Center of Excellence (XAI COE), which brings together researchers and practitioners to develop novel techniques, tools, and frameworks to support AI/ML model explainability. The XAI COE has assembled a team of experts in XAI, and they pursue primary research to advance the state-of-the-art and publish in top Artificial Intelligence/Machine Learning venues. 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 XAI. We work in collaboration with teams across the firm to tackle some of the most challenging and interesting problems in Technology such as Artificial Intelligence for code maintenance and Artificial Intelligence for task management.
The Artificial Intelligence Research team is headquartered in New York and present in London and the Bay Area. Conducting Artificial Intelligence 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 JPMorgan Chase but also to the broader Artificial Intelligence community.
Job Responsibilities :
- 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, generating hypotheses, developing new algorithms and models, conducting experiments, synthesizing results, gathering data, building prototypes and communicating the significance of your research.
- Your output will result in high-impact business applications, open source software, patents and/or publications in security/safety conferences and journals.
- As a member of the Artificial Intelligence and security/safety research community, you will also have the opportunity to participate in relevant top-tier academic conferences to broaden the impact of your contributions.
Required qualifications, capabilities and skills
- Master's degree with 3+ years of relevant work experience or PhD in Computer Science, Statistics, Engineering or related fields. Research publications in prominent Artificial Intelligence/Machine Learning venues such as conference or journals
- Strong expertise, interest, and track record of performing cutting-edge research on Explainable Artificial Intelligence (XAI).
- Practical experience with ML platforms such as Tensorflow/Keras, PyTorch, etc.
- Comfort with rapid prototyping and disciplined software development processes
Preferred qualifications, capabilities, and skills
- 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)
