CIB Global Investment Banking - Data Scientist - Associate CIB Global Investment Banking - Data Scientist -  …

J.P.Morgan
in New York, NY, United States
Permanent, Full time
Last application, 10 Sep 19
Competitive
J.P.Morgan
in New York, NY, United States
Permanent, Full time
Last application, 10 Sep 19
Competitive
CIB Global Investment Banking - Data Scientist - Associate
JPMorgan's Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world's most important corporations, governments and institutions entrust us with their business; JPMorgan CIB provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Overview
We have a great opportunity within our Global Investment Banking Data Analytics Team in New York as a Data Scientist.

The role will provide the successful applicant with the opportunity to shape the future of models and analytics for the #1 Global Investment Banking franchise (IBD, M&A & Corporate Finance).

Responsibilities
  • Build bespoke models working closely with senior business sponsors e.g. Corporate Finance Advisory, Mergers & Acquisitions
  • Rethink traditional workflows and existing methods with advanced modelling
  • Work to build, investigate, test and develop models using traditional and alternative data sources
  • Engage with Banking on commercial opportunities and deliverables for JP Morgan's clients
  • Develop scalable tools leveraging machine learning and deep learning models to solve real-world problems
  • Degree in a quantitative field (Master's or PhD preferred)
  • 5 Experience in a Quantitative Research or Quantitative Banking role
  • Very strong coding / code design in Python
  • Strong experience in statistical modeling and Machine Learning
  • Strong communication and collaboration skills
  • Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels)
  • Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE)
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