JPMorgan Chase is looking to accelerate its data and analytics journey by ensuring the quality, integrity, and security of the company's data and leveraging this data to generate insights and drive decision-making.
Requirements
- Programming skills in Python
- Proficient understanding of fundamental AI and ML techniques
- Practical experience with statistical data analysis and experimental design
- Research publications in prominent AI/ML, Software Engineering, Cryptography, or Security venues (e.g., conferences, journals)
- Strong expertise in specialized areas such as Secure Multiparty Computation and Fully Homomorphic Encryption
- Practical experience with ML platforms such as TensorFlow/Keras, PyTorch
Responsibilities
- Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams
- Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance
- Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents
- Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions
Other
- PhD in Computer Science, Engineering, or related fields
- Curiosity, creativity, resourcefulness, and a collaborative spirit
- Effective verbal and written communication skills with technical and business audiences
- Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds
- Interest in problems related to the financial services domain
