Data Engineer - London, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description

Permanent Role

London Based (Hybrid)

No Sponsorship

Role

  • Test/evaluate new alternative datasets in collaboration with quant researchers and data teams
  • Once identified with machine learning and statistical methods, automate the extraction of predictive features
  • Manage the full lifecycle of data science projects: data acquisition/exploration/engineering, prototyping, and production
  • Operate a wide array of methods, including unsupervised, supervised, learning, natural language processing (NLP), anomaly detection etc

Requirements:


  • A keen interest in financial markets, data analysis and programming
  • Structured and unstructured data management expertise
  • Advanced programming experience in Python, C/C++, C# is a plus
  • Cloud platforms (AWS, GCP, etc.) expertise
  • Intellectual curiosity to identify emerging and alternative data
  • Capacity to work with autonomy within a global team (researchers and data engineers)
  • Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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