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Technical Data Scientist

Harvey Nash
Posted 12 hours ago, valid for 21 days
Location

London, Greater London EC1R 0WX

Salary

£48,000 - £57,600 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A multinational commodity trading firm is seeking a Technical Data Scientist with expertise in Python and SQL for a permanent hybrid position in London.
  • The role offers a competitive salary of £100,000, with flexibility based on experience.
  • Candidates should have experience in anomaly/outlier detection, quality control algorithms, and financial instrument pricing, with a preference for knowledge in commodities.
  • Applicants should possess experience in analyzing and interpreting large datasets, along with familiarity with market data providers like Bloomberg, Refinitiv, and CME.
  • A background in the financial industry or regulated environments is preferred, along with extensive experience using issue tracking software and enterprise data management systems.

Technical Data Scientist - Python, SQL, Bloomberg / Refinitiv / CME, Commodities / Financial Services - Sought by Multinational Commodity Trading Firm - Permanent - Hybrid - London

Salary : £100,000 (flexibility)

Requirements

  • Excellent knowledge of python and SQL.
  • Knowledge on anomaly/outlier detection and quality controls algorithms
  • Self-organised, creating and maintaining precise and clear documentation, maintaining and developing further the Reference data and business glossary to keep them consistent
  • Knowledge of how financial and physical instruments are priced. Knowledge of commodities is a plus
  • Knowledge of Market Data providers - such as Bloomberg, Refinitiv, CME, …
  • Experience in analysing, modelling, and interpreting large datasets and to present the data in a meaningful manner
  • Experience working in the financial industry or other regulated environment preferred
  • Extensive experience with issue tracking software (JIRA, Azure DevOps, TFS)
  • Experience of Enterprise Data Management systems and their application in organisations.

Pleas apply within for further detail

George Morgan Giles - Harvey Nash

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.