Internship Opportunities at J.P. Morgan
For information about the opportunities below, contact Alistair Dunlop
Massively-parallel machine learning for trade data analytics
Explore the feasibility and computational efficiency of implementing machine-learning algorithms on a Cray supercomputer platform coupled with nVidia GPUs to deliver rapid trade data analytics.
Background and/or skills required of the applicant:
- Good level of C++ competence with ideally general HPC and/or GPU (CUDA) experience ideally
- Some machine learning knowledge would be a plus but not a necessity.
- Specific financial product or financial mathematics knowledge is not required but any familiarity would certainly be useful.
The duration is preferably for 6 months, but can be negotiated.