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Capital Markets Data Scientist

Capital Markets Data Scientist

Job description

Our Client, a Global Market Data company, are looking to grow their Liquidity Quantitative / Data Science group as the business expands. This specific team uses Machine Learning, Econometric and Statistical methods to aid calculating liquidity risk.

 

Requirements:

 

 

 

  • 1+ years of professional work experience within a Data Science / Machine Learning capacity

     

  • Strong educational background in Statistics and Probability with a solid understanding of pure fundamentals of both

     

  • M.Sc. or Ph.D. in an applied numerical field such as Physics (preferred), Operational Research, Comp Sci, Mathematics, Statistics, etc.

     

  • Ideally experience within Exchange Trading

     

  • Experience with Python and ideally Matlab / R

     

  • Experience with modelling securities across numerous asset classes, ideally professionally, at least educationally

     

 

 

Technical Environment:

 

Python, Matlab, R, SPARK