Machine Learning Quant Specialist

Selby Jennings
Closing date
23 Oct 2021
Responsibilities Will Include:
  • Researching and identifying techniques in machine learning and statistical modeling, as well as optimization and implementing said techniques
  • Conducting and applying research to drive the development of methodology and algorithms
  • Designing benchmark models and implementing and automating their usage within the advanced computing platform

A Qualified Candidate Will Have:
  • A Master's Degree in Statistics, Computer Science, or Operations Research (optimization) or a related quantitative discipline with 2 years of full time experience in applying statistical models, machine learning or closely related quantitative techniques to real problems
  • OR a PhD in Operations Research/Optimization, Statistics, Computer Science, Machine Learning, Electrical Engineering or a closely related quantitative discipline, with relevant knowledge to the role
  • A background in optimization, numerical analysis, and modeling
  • In depth knowledge of machine learning and artificial intelligence methodologies
  • A strong programming and computing background with knowledge in at least Python, Java or R
  • Experience with ML/AI computing platforms and tools such as TensorFlow and Keras

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