Financial Data Scientist

  • $120-250k Total Compensation
  • New York, NY, États-Unis
  • CDI, Plein-temps
  • Orbis Consultants
  • 18 janv. 18 2018-01-18

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.

- 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