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Machine Learning Analyst

Machine Learning Analyst

BCT Resourcing

London, England

Job ID : 6646715132535250525958586e56644d4a513d3d

Job Description :

Machine Learning Analyst - Financial Markets
London
£60,000 - £70,000 per annum

My client is a Large Financial institute based in London and they are looking for a Machine Learning Analyst to join their Data Governance Office in building ML Algorithms and prediction Systems in part of their overall Data Strategy.

Role:

  • Actively participate with stakeholders to identify and deliver opportunities to support their Data Governance strategy
  • Source, access, manipulate and engineer data across a range of databases, and formats working with stakeholders and engineers as appropriate
  • Apply your expertise in quantitative analysis, data mining, analysis of large structured and unstructured data sets to identify data discrepancies
  • Deliver high impact visualisations & statistical analysis to influence data related decisions
  • Ensure compliance with their data governance standards and policies and information security principles
  • Stakeholder management at all levels
  • Support process improvement and service excellence in helping to build a leading change delivery function

Skills Needed:

  • Statistical analysis: Identify patterns and anomaly detection
  • Understanding of Data Governance tooling. (Solidatus, Collibra…)
  • Data storytelling & Communication: Able to visually represent data and processes in a clear manner to non-technical stakeholders
  • Machine learning: Implement algorithms and statistical models to enable a computer to automatically learn from data
  • Programming: Write computer programs to analyse large datasets using SQL, R, Python and Java

If this is of interest, please respond directly to this advert online.

INDHP

Company Details :

Name : BCT Resourcing

Headquarter : Letchworth Garden City, United Kingdom

Revenue : Unknown / Non-Applicable

Size : Unknown

Type : Unknown

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Details

: London, England

: 60000 - 70000 GBP ANNUAL

: Today

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