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Quantitative Analyst - Machine Learning Engineer

  • : £95,000 - £120,000
  • : Permanent
  • : London
  • : Major European Bank

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Problem Solving Data Mining Project Management Data Science Data Visualization Analytical Skills Statistical Modeling Artificial Intelligence (AI) Pattern Recognition Machine Learning



Job Specification

Our client is a Major European Bank, and this position is for a Quant Analyst / Data Scientist to join a cutting edge hub that supports the organisations Finance and Business divisions.

By utilising innovative machine learning and quantitative techniques, the team looks to increase efficiencies, predict behaviour and develop algorithms that help identify root cause issues, providing advice and suggesting modifications that can prevent losses and optimise performance.

If you are keen to use your quantitative modelling skills to derive actionable insights & advice using machine learning / quantitative techniques in combination this could be an excellent role that provides a wide range of issues and problems to solve,

You Must be able to:

  • Leverage machine learning and quantitative techniques already in place
  • builds financial prediction models that capture the current status quo
  • runs different prediction scenarios for optimal trade-offs
  • prioritise opportunities with operational headwinds
  • support execution together with business

You Background

  • At least 5 years of commercial business experience
  • University education, preferably in finance, operational research or engineering
  • Ability to understand complex issues and explain them in simple terms
  • Strong analytical, numerical and problem-solving skills
  • Know how of financial markets and banking products
  • Deep understanding of AI techniques and practical applications

Technical Skills

  • Experience with model development work including working on UNIX servers
  • Knowledge of statistical modelling software (R or Python) is a must
  • Experience of data visualisation tools
  • Project Management experience

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