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.