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Data Scientist Python, Java, Spark,Kafka, PyData, Pandas, Numpy, SciKit Learn, Equities

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

This is a Front Office position, working as part of a Global Markets intelligence team to build out Data/ML pipelines and models to provide content automation and analytics for the front office sales team. You will be taking multi asset quantitative data (FX, Equities, Rates, Credit) and applying ML/NLP techniques to produce data driven decision making to increase revenues through automating sales for the markets business. To be successful in this role you will need;

  • Previous experience working in a Data Science capacity, designing and developing data pipelines and models
  • Strong experience with Python / Java
  • Proven experience in data and cloud technologies (Kafka, Spark, Hadoop, Cloudera, Azure)
  • Extensive experience working with large data sets
  • Pydata Stack experience (Numpy, Pandas, Sci-kit Learn)
  • Experience with Machine Learning / NLP would be highly beneficial
  • Knowledge or experience with FX, Rates, Credit or Equities would be highly beneficial
  • This is an excellent opportunity to work with cutting edge technology in the Front Office of a tier 1 Investment bank in what is a highly visible area at present. Cornwallis Elt is an Employment Agency and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UK`s fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50. You can also follow our live roles on the website at and on Twitter:

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